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Location: Hybrid - London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel's Enterprise sales team is built on people who are technically fluent, commercially sharp, and deeply curious about the companies they sell into. As a Majors AE covering some of the key EMEA markets, you will own a curated book of named enterprise accounts and be the primary driver of net-new revenue and platform expansion. You will work alongside Solutions Engineers, Partner Manager, and cross-functional Vercel stakeholders to bring Vercel's platform into some of the most digitally ambitious and transformational companies in the region. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Build and execute multi-year account plans across a curated set of named Major Accounts, with hyperscalers, SIs, and agency partners embedded in the strategy from day one Drive net-new revenue through outbound ownership, rigorous discovery, executive alignment, and multi-threaded deal execution spanning engineering, product, procurement, legal, and the C-suite Translate Vercel's platform into board-level narratives around developer velocity, infrastructure consolidation, and AI-driven transformation as measurable operational levers Own complex commercial negotiations and establish Vercel as a long-term strategic infrastructure partner embedded in your accounts' roadmaps for web and AI transformation What you need 5–10+ years in enterprise SaaS with a demonstrated track record of closing six and seven-figure deals in major or strategic accounts Experienced in partner-influenced or co-sell motions — you know how to activate a hyperscaler or SI/ISV relationship to open doors and accelerate deals, not just name-drop them Fluent in English and local language requirements based on the territory you’re focused on Comfortable discussing architecture with a CTO and total cost of ownership with a CFO A disciplined account planner who thinks in years, builds executive relationships from scratch, and sequences complex accounts to maximise long-term revenue Fluent in MEDDPICC and rigorous about forecast hygiene and CRM discipline Able to hold credible, technically grounded conversations with senior engineering and product leadership — without leaning on a solutions engineer as a crutch A value seller who leads with business outcomes and customer pain, not feature lists Bonus if you Have a background in web development, developer tooling, web infrastructure, cloud platforms, or AI/ML Come with existing relationships at AWS, GCP, Azure, or major SI/ISV players active in the UK and Northern Europe markets Have experience navigating ELAs, global framework agreements, or enterprise procurement in regulated industries Have sold into media, retail, financial services, or digital-native companies — verticals where Vercel has strong traction in the UK market Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The London based pay range for this role is 200,000 - 270,000 GBP OTE. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hamburg Workplace: Hybrid adjoe is redefining the future of mobile advertising. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with our intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by Europe’s leading media powerhouse Bertelsmann and operating from offices in Hamburg (HQ), Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. About the Role As adjoe enters its next critical phase of global expansion, with a strategic priority of building a scalable and predictable revenue engine. We are looking for a hands-on Senior Manager to advance our GTM strategy and drive global execution with our teams in Europe, North America, and APAC. This is not a maintenance role; it is a creation role at the heart of our commercial strategy. Your mission is to shape and refine our global GTM strategy and take strategic priorities through execution to achieve results. You will define and implement the operations that will ensure we can continue to scale efficiently across all markets. Reporting directly to our Managing Director (GTM) and working closely with regional VPs of Revenue, the wider adjoe leadership team, and our Product and Tech departments, you will act as a strategic partner and operational bridge across teams. You’ll help translate strategic goals into execution, ensuring alignment from planning to delivery. This role blends analytical and strategic thinking with hands-on collaboration—supporting high-impact initiatives, guiding teams through complex deals, and driving seamless execution from partner engagement to integration. What You Will Do: - GTM Strategy: Partner with our Managing Director (GTM) and regional VPs of Revenue (Europe, North America, APAC) to design and implement a scalable global GTM strategy, defining the end-to-end sales processes and operational cadence. - Business Development: Actively support our Sales teams on high-priority, strategic accounts across all stages (deal, onboarding, and scaling). Support our Growth teams in strategic account development (e.g. new product upsell strategy). - Sales Enablement & Productivity: Act as the primary bridge between Product Marketing and the global Sales organization, developing a continuous enablement program to equip teams with the knowledge and assets to win. - Reporting & Pipeline Management: Architect and build our global sales reporting framework to establish a single source of truth for pipeline health, forecasting, and performance KPIs. - Sales Incentive Design & Execution: Design, model, and manage a motivating global sales commission plan, from initial hands-on creation to eventual strategic oversight as the team scales. - Cross-Functional Alignment: Act as the operational bridge between Sales, Product, and Tech teams, driving clarity, alignment, and accountability across markets. - Future Growth - Team Development: Build and lead the foundation of the Revenue Operations function, establishing processes and a structure that can grow with the company’s expansion. Who You Are: - Strategic & Analytical: 2–3 years of experience in Strategy Consulting (MBB), high-growth Start-ups or Scale-ups, or VC/PE, with a strong record in strategy development and execution, ideally GTM oriented. - Business Acumen: Experienced in formulation (and ideally execution) of commercial strategy and GTM motions. Solid understanding or strong interest in AdTech, including the key performance metrics and sales cycles common in the space. - Builder’s Mindset: You combine structure and pragmatism—equally comfortable architecting multi-year GTM plans and rolling up your sleeves to execute. You thrive in fast-paced, evolving environments. - Executive Presence & Partnership: Strong business acumen and the ability to work closely with senior leadership and external partners. You influence through insight, build trust across teams, and act as a reliable partner who turns strategy into execution. - Problem-Solving & Ownership: You bring a structured, yet adaptive approach to challenges—leading high-impact initiatives from idea to outcome with a hands-on, entrepreneurial spirit. - Global Communicator: Excellent communication skills in English and German. - Academic Foundation: Degree in Business, Finance, Economics, or STEM from a top-tier university. An MBA is a plus but not required. Our Commitment to Your Success: - Invest in Your Future: You’ll join a high-performing, rapidly scaling global company with a clear vision, while directly influencing the company's trajectory and sharing in its success. We’re committed to your growth through regular feedback, mentoring, and our development programs, you’ll expand your skillset and build a long-term career at adjoe. - Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you and your family covered, including a relocation bonus, and personal support to help you build your life here, making your move smooth and stress-free. - Live Your Best Life, at Work and Beyond: Flexible hours, remote Fridays and 30 vacation days. You’ll also have three weeks of remote work each year, access to an 24/7 in-house gym with classes, and mental health support through our Employee Assistance Program (EAP). - Thrive Where You Work: Our Hamburg HQ offers more than a view of the Alster lake. You’ll find a vibrant office with top-notch equipment, open collaboration spaces, and plenty of snacks and drinks to keep ideas (and energy) flowing. We welcome applications from people who will contribute to the diversity of our company. We welcome applications from people who will contribute to the diversity of our company.

Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re scaling from prototypes to manufacturing, and the process maturity needs to match. This role owns the secure manufacturing pipeline — the procedures, tooling, and controls that take a bare board in an untrusted CM facility and turn it into a cryptographically enrolled, OTA-ready device that our cloud fleet trusts. You’ll be the bridge between our secure boot/firmware teams and the cloud control plane, connecting them at the point of manufacture. WHAT YOU'LL DO - Design the secure manufacturing station — Architect the hardware, software, and network stack (HSM, key injection, AWS Private CA) for factory floor provisioning stations. Integrate the secure boot fuse/flashing flow from our secure boot/firmware team. - Build the provisioning toolchain — Own the automation pipeline that takes a bare device through identity provisioning, enrollment, firmware flashing, calibration, and functional test. - Bridge device and cloud identity Enroll every device into a registry with correct credentials for OTA, session heartbeating, and deployment tracking. - Own the End-Of-Line (EOL) test framework — Work with globally distributed teams to define pass/fail criteria for devices leaving the line: sensor calibration, actuator checks, and initial OTA health check. - Work with contract manufacturers —Translate security requirements into CM-executable procedures; threat-model the factory for key leakage, firmware tampering, and supply chain substitution. - Maintain chain of custody — Link each physical serial number to its provisioned identity, calibration records, test results, and firmware version at manufacture. - Collaborate across teams — Work daily with a globally distributed team of firmware, cloud, manufacturing, systems and operational team members. WHAT WE'RE LOOKING FOR - 10+ years of experience which includes manufacturing engineering, with a comparable depth of experience developing test tools and frameworks. Plus experience working with networking in a manufacturing environment, and time focused on secure device provisioning and/or secure manufacturing processes. Ideally 3 years at a Staff level or equivalent. - PKI and device identity — Experience with X.509 certificate lifecycles, mTLS, device authentication and attestation, and managed CA services like AWS Private CA. - AWS infrastructure — S3, IAM, ECS, KMS, CloudHSM and Secrets Manager for secure provisioning workflows. - EOL test and calibration — Hands-on experience defining manufacturing test frameworks, experience with hardware test fixtures. - Scripting and automation — Advanced skills in Python or Bash for developing production-grade provisioning toolchains. - Advanced skills and understanding of Rust, Bazel, Systemd - Embedded Linux systems — Experience with NVIDIA Jetson Orin/Thor platforms. - Secure manufacturing design — Ability to design secure processes for untrusted or semi-trusted offshore CMs and air-gapped station design. - Experience managing quality gates with contract manufacturers - Hardware root of trust understanding — General understanding of secure boot chains, TPM/TrustZone, cryptographic key injection, certificate provisioning, and eFuse programming. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $260,000–$320,000 USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Home Based - Americas; Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally-distributed collaboration, with 1200+ colleagues in 80+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are privately held with the intention to list on a public exchange. We are expanding our in-house legal team, creating an opportunity for an exceptional lawyer as Legal Advisor or Legal Counsel. The successful candidate will be a rigorous and effective practitioner with a track record of academic achievement and social engagement. At Canonical, you will have the opportunity to work on a variety of compliance and privacy matters in the technology and enterprise software realm, as well as cutting-edge questions of technology, law and product development. In this role we are looking for someone with some experience in compliance, privacy and product development, paired with an ability to learn and tackle new challenges and complex questions. You should be able to demonstrate good commercial judgement and provide high-quality legal and compliance advice. If you have a rigorous work ethic, capability to grasp details, and the ambition to identify opportunities for improvement, this role is for you. Location : This role is home-based in EMEA or the Americas, with an option of working from our London office. The role entails Drafting and  reviewing corporate policies, spearheading process change and deploying controls to meet compliance regulatory requirements globally Helping develop, maintain and scale global privacy programs. This includes conducting PIAs, ROPAs and supporting operational initiatives Working with cross functional with teams to evaluate the impact of privacy and data protection laws and regulations, including AI regulations Providing legal support to various internal clients across the company, including Canonical’s product teams Working with local counsel in many countries to seek and implement advice What we are looking for in you An exceptional academic track record from both high school and university A degree in law, JD or equivalent, and active licence to practise law or current progress towards that Drive and a track record of going above-and-beyond expectations Professional written and spoken English with excellent drafting and presentation skills Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Appreciative of diversity; polite and effective in a multicultural multinational organisation Ability to stay organised, proactive and efficient Ability to demonstrate good commercial judgement Ability to travel twice a year, for company events up to two weeks long Nice-to-have skills Experience in compliance, data privacy, or product development Leadership and the ability to influence others to embrace new ideas or practices Understanding of the open source software community and values Understanding of the technology industry - silicon, data centers, PCs, connected devices, and software Experience working on in-house legal team and/or law firm What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia Do you care about how things work under the hood and don't shy away from complex, interconnected systems? Do you know how to independently investigate problems, build reliable test coverage, and guide others in maintaining a high bar for quality? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do The Core team handles the foundational pieces of the IntelliJ Platform, including the editor, indexing, settings, and plugins. These systems are highly complex and used across all JetBrains IDEs, meaning your work directly impacts the daily workflows of millions of developers. You’ll take full ownership of the QA domain for this team, ensuring the stability of both established components and temporary cross-team projects. You’ll work closely with developers to investigate technical problems, coordinate testing efforts, and ensure we ship reliable, high-quality features. Day to day, you will: Develop and maintain UI, end-to-end, functional, and integration tests across Linux, Windows, and macOS. Analyze test failures and track test coverage. Test new functionality, focusing on complex scenarios, edge cases, and potential coverage gaps. Improve test diagnostics, frameworks, and CI/CD pipelines to reduce flakiness and increase reliability. Mentor a junior QA engineer by helping plan tasks, reviewing work, and answering technical questions. Communicate risks, roadblocks, and investigation results clearly to the development team. Own your QA domain end to end, proactively identifying priorities, planning your work, and driving quality initiatives. What you’ll bring A strong sense of ownership over the quality and stability of complex systems. The ability to navigate incomplete requirements and find the information needed to move forward. A practical approach to problem-solving, with a focus on resolving issues independently. A collaborative mindset for working closely with developers and other cross-functional teams. An eye for spotting risks, missing scenarios, and areas for process improvement. A willingness to guide and support less-experienced engineers. What you’ll need An extensive background in software quality assurance and test automation. Strong programming skills to develop, maintain, and debug UI tests. Proficiency with testing frameworks like JUnit or TestNG. The proven ability to investigate and troubleshoot failures across products, infrastructure, and environments. Fluency in written and spoken English. What success looks like You’ve established a reliable, stable testing infrastructure for the Core team, significantly reducing test flakiness and improving diagnostic capabilities. You proactively identify quality risks before releases, keep developers unblocked, and ensure the junior engineers you mentor are confidently taking on more complex tasks. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via: LinkedIn: https://www.linkedin.com/in/ra... Industrial Engineer – Effectors An advanced aerospace and defense technology company is seeking an Industrial Engineer to help architect and scale next-generation production systems for high-volume autonomous and interceptor platforms. This role is focused on factory design, production system architecture, capacity planning, and manufacturing scale-up. The ideal candidate has experience building production systems from the ground up and understands how to optimize manufacturing operations for throughput, cost, quality, and scalability. This is a highly hands-on and high-ownership role where you’ll help shape manufacturing strategy from early prototype builds through sustained high-rate production. Responsibilities Factory & Production System Design Design scalable factory layouts optimized for flow, throughput, takt time, and operational efficiency Develop production cell concepts for manual, semi-automated, and automated assembly environments Build value stream maps and future-state production workflows Define workstation layouts, labor allocation models, and material flow strategies Design inventory flow concepts including kitting, supermarkets, and point-of-use systems Support production facility build-outs, line expansion planning, and manufacturing infrastructure development Capacity Planning & Rate Scaling Build detailed production rate and throughput models tied to manufacturing demand forecasts Analyze: Takt time Cycle time Throughput Bottlenecks Labor efficiency Capacity constraints Develop scaling strategies for pilot production, low-rate builds, and future high-volume manufacturing Create multi-scenario production plans supporting rate ramps and supplier scaling Identify manufacturing readiness risks and mitigation strategies Production Optimization & Continuous Improvement Implement lean manufacturing principles across production workflows Drive line balancing, waste reduction, and flow optimization initiatives Conduct time studies and labor productivity analysis Support OEE tracking and production performance measurement systems Analyze yield, throughput, cycle time, and rework metrics to improve operational efficiency Help develop standardized work instructions and scalable manufacturing processes Cross-Functional Manufacturing Support Partner closely with manufacturing engineering, supply chain, facilities, quality, and operations teams Participate in design-for-producibility reviews and manufacturing trade studies Support make-versus-buy decisions and contract manufacturing evaluations Assist with supplier industrialization and manufacturing readiness assessments Provide hands-on support during prototype builds, production ramp events, and early manufacturing operations Qualifications Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or related technical discipline 5+ years of experience in factory design, production system optimization, manufacturing scale-up, or industrial engineering Experience building or supporting high-rate manufacturing environments Strong understanding of: Lean manufacturing Capacity planning Value stream mapping Takt time and cycle time analysis OEE measurement Line balancing Throughput optimization Experience supporting production ramp or greenfield manufacturing build-outs Experience developing production rate models using Excel, Python, VBA, simulation tools, or similar platforms Comfortable working in fast-paced startup or development-stage manufacturing environments U.S. citizenship required; ability to obtain and maintain a DoD security clearance required Preferred Experience Aerospace, defense, automotive, robotics, semiconductor, or other high-volume manufacturing industries Production systems supporting complex electromechanical hardware Factory simulation or digital manufacturing tools such as: FlexSim AnyLogic Arena Simulink ERP, MES, or PLM integration experience High-rate automated assembly or robotics manufacturing Experience scaling manufacturing operations from prototype through production Startup or greenfield factory build-out experience Contract manufacturing and supplier industrialization exposure What Makes This Opportunity Unique This role offers the opportunity to help build a manufacturing operation from the ground up inside a rapidly growing aerospace and defense environment. The team is looking for engineers who understand not only how to optimize existing factories, but how to architect scalable production systems from scratch — balancing cost, throughput, automation, and manufacturability for future high-rate production. You’ll work closely with both engineering and operations leadership while helping define the long-term production strategy for next-generation hardware platforms. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via: LinkedIn: https://www.linkedin.com/in/ra... Salary: $110,000 – $160,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Modeling & Simulation Engineer – Operations Analysis An advanced defense technology company is seeking a Modeling & Simulation Engineer to support operational analysis, mission effectiveness studies, and system performance evaluation across next-generation defense and aerospace programs. This role focuses on building and executing high-fidelity simulations that help evaluate sensors, communications systems, missiles, aircraft, autonomous systems, and mission-level engagements in operationally relevant scenarios. The ideal candidate combines strong analytical and statistical capability with hands-on simulation experience and a deep understanding of mission systems, kill chains, and operational environments. This is a highly technical role suited for engineers who thrive in fast-paced environments and enjoy solving complex defense and mission-analysis problems. Responsibilities Design, develop, execute, and analyze mission-level modeling and simulation studies Evaluate system performance and operational effectiveness across complex defense scenarios Build and refine models for sensors, communications systems, aircraft, autonomous systems, missiles, and other mission assets Perform operational analysis using simulation environments such as AFSIM, ESAMS, STK, Brawler, or equivalent mission-level frameworks Apply rigorous statistical analysis methods to simulation outputs to quantify effectiveness, identify trends, and support decision-making Develop Python- and/or MATLAB-based tools for simulation automation, data processing, visualization, and analysis Support modeling efforts spanning radar performance, weapon employment, tracking, guidance, and engagement analysis Create technical reports, visualizations, briefing materials, and operational assessments for technical and non-technical stakeholders Collaborate closely with engineering, systems, and customer-facing teams to translate operational questions into analytical studies Maintain software development best practices including version control, reproducibility, and scalable workflows Qualifications Bachelor’s degree or higher in Engineering, Computer Science, Physics, Mathematics, Statistics, Operations Research, Data Science, or related technical discipline 5+ years of experience supporting defense, aerospace, intelligence, or advanced technology programs Strong understanding of mission analysis, weapon employment concepts, or operational kill chains Experience with one or more operational simulation tools such as: AFSIM ESAMS STK Brawler Physics-based simulation environments Strong Python and/or MATLAB programming skills for scientific computing and analysis Solid statistical analysis and data interpretation capability Experience building analytical workflows, simulations, or mission-level studies with minimal oversight Strong understanding of physics, kinematics, and system-level interactions in operational environments Comfortable working in Linux-based environments and developing scalable analysis tools U.S. citizenship required; ability to obtain a Top Secret clearance required Preferred Experience Radar performance analysis and sensor effectiveness modeling Missile systems, guidance, tracking, or engagement analysis Modeling and simulation of aircraft, autonomous systems, spacecraft, or communications systems Operations analysis or mission engineering experience within defense organizations or government programs Familiarity with Distributed Interactive Simulation (DIS), SIMDIS, VR-Forces, or related visualization environments Experience with software-in-the-loop simulation, autonomy systems, or guidance/navigation/control frameworks Experience supporting DoD, DARPA, AFRL, ONR, intelligence community, or related government programs Active TS/SCI clearance Familiarity with machine learning workflows, GPU acceleration, or advanced scientific computing libraries is a plus What Makes This Opportunity Unique This role offers the opportunity to help build a new operational analysis and modeling capability within a rapidly growing advanced defense environment. The team is looking for engineers who can bridge rigorous analytical thinking with practical mission understanding — people who understand not only how to build simulations, but also how to interpret operational outcomes and identify what truly matters in mission execution. You’ll work on technically challenging problems spanning sensors, weapons, autonomous systems, and mission-level performance evaluation in support of high-impact national security programs. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $140,000 – $190,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Principal Mechanical Engineer – Platform Integration An advanced aerospace and defense technology company is seeking a Principal Mechanical Engineer to lead the integration of ruggedized sensor and electronics systems onto large mobile platforms for government and defense applications. This role is focused on translating advanced sensing and electronics technologies into durable, field-deployable systems capable of surviving demanding operational environments across vehicle, trailer, and maritime platforms. The ideal candidate brings deep experience with mechanical integration, ruggedized hardware design, environmental survivability, and large-scale platform constraints. This is a highly hands-on engineering role requiring practical judgment, systems thinking, and the ability to identify integration risks before they become field failures. Responsibilities Lead the mechanical integration of multi-sensor and electronics systems onto mobile ground, trailer-mounted, and maritime platforms Define and manage mechanical interfaces between electronics packages, structural systems, mounting hardware, and vehicle platforms Develop ruggedization strategies for vibration, thermal exposure, dust, sand, corrosion, and harsh environmental conditions Design sensor mounts, enclosures, brackets, and support structures optimized for durability, serviceability, and field deployment Support environmental qualification efforts including shock, vibration, thermal, and environmental testing Collaborate closely with electrical, manufacturing, systems, and program teams throughout development and integration activities Create and manage interface control documentation (ICDs), installation requirements, alignment strategies, and tolerancing schemes Evaluate installation constraints and field-maintenance considerations across complex deployment environments Drive root-cause analysis and resolution of integration or survivability issues discovered during testing or deployment Provide technical mentorship and integration guidance across multidisciplinary engineering teams Qualifications Bachelor’s degree in Mechanical Engineering or related discipline 10+ years of experience in aerospace, defense, or ruggedized platform integration environments Demonstrated experience integrating electronics, sensors, or mission systems onto large mobile platforms such as vehicles, trailers, ships, or other deployable systems Strong understanding of ruggedized mechanical design principles including vibration isolation, thermal management, sealing, shock loading, and environmental survivability Experience designing to environmental qualification standards such as MIL-STD-810 Strong CAD proficiency with experience managing large assemblies and mechanical interfaces Experience developing installation approaches, tolerancing strategies, interface definitions, and integration documentation Practical hands-on engineering mindset with strong troubleshooting and systems integration capability Strong communication skills and ability to work cross-functionally in fast-paced development environments U.S. citizenship preferred; ability to obtain a security clearance is strongly preferred Preferred Experience Multi-spectral sensor system integration including EO/IR, radar, RF, or ISR-related hardware Vehicle, maritime, naval, or trailer-mounted defense platform integration experience Thermal management design for electronics operating in extreme ambient environments Experience designing vibration isolation systems and shock mitigation approaches Familiarity with FEA and structural analysis tools such as ANSYS, NASTRAN, or ABAQUS Experience supporting environmental testing, qualification, and field deployment activities Knowledge of military connectors, ruggedized cabling, and harsh-environment electrical integration Background working with government or defense platform programs Experience bridging electronics packaging requirements with large structural integration constraints What Makes This Opportunity Unique This role sits at the intersection of advanced sensing technology, ruggedized mechanical design, and large-platform system integration. The company is looking for someone who has real-world experience solving difficult integration problems — not just designing isolated hardware components. The right candidate will bring practical engineering judgment, field-tested lessons learned, and the ability to anticipate problems before they become expensive redesigns. You’ll play a key role in helping transform advanced sensing systems into deployable, mission-ready platforms operating in demanding environments. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $180,000 – $230,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Principal Mechanical Engineer – Launcher Systems An advanced aerospace and defense technology company is seeking a highly experienced Principal Mechanical Engineer to lead the architecture, design, and integration of next-generation launcher systems supporting UAV and missile platforms. This role will own launcher hardware development from concept definition through production and deployment across mobile ground and maritime applications. The ideal candidate brings deep launcher system expertise, strong electro-mechanical integration capability, and direct experience designing ruggedized hardware for harsh operational environments. This is a highly hands-on technical leadership role suited for engineers who thrive in fast-moving development environments and are comfortable owning complex hardware systems end-to-end. Responsibilities Lead the mechanical architecture and system integration of launcher platforms across ground and maritime environments Define and manage critical mechanical and electro-mechanical interfaces between launcher systems, canisters, payloads, and platform infrastructure Design solutions addressing blast, plume, thermal, and structural loads associated with rocket or missile launch environments Develop gas management, shielding, thermal protection, and structural mitigation strategies Design and integrate deployment, retention, release, and actuation mechanisms Support launch sequencing, safety interlocks, and system-level safing requirements Create and manage interface control documents (ICDs), mechanical specifications, and system integration documentation Serve as a primary technical interface with suppliers, manufacturing partners, customers, and platform integrators Lead supplier technical reviews, design validation efforts, and make-versus-buy assessments Support transition from development into production, qualification, and sustainment activities Mentor and provide technical direction to cross-functional engineering teams Qualifications Bachelor’s degree in Mechanical Engineering or related discipline 10+ years of experience in aerospace or defense mechanical design and system integration Direct experience designing launcher systems, missile integration hardware, UAV launch platforms, or closely related defense systems Strong understanding of blast, plume, thermal, vibration, and dynamic load environments Experience with electro-mechanical integration including power, data, connector, and umbilical systems Hands-on experience designing ruggedized mechanical hardware for harsh environments Strong CAD proficiency using SolidWorks or equivalent tools, including large assembly management Familiarity with military standards and environmental qualification practices including MIL-STD-810 Experience creating and managing interface documentation, tolerancing strategies, and installation requirements Demonstrated ability to lead technical decision-making and resolve complex integration challenges U.S. citizenship and ability to obtain and maintain a security clearance required Preferred Experience Master’s degree in Mechanical Engineering or related field Prior experience serving as technical lead or responsible engineer for launcher or weapons systems programs Experience integrating launcher systems onto mobile or maritime platforms Familiarity with launch sequencing, safe-and-arm systems, fuzing interfaces, and mission-critical safety requirements Experience with structural, thermal, or multiphysics simulation tools such as ANSYS, NASTRAN, ABAQUS, or similar Experience planning and executing hardware integration or environmental testing Knowledge of manufacturing and assembly methods for deployable or ruggedized mechanical systems Familiarity with military connector standards including 38999, ARINC, or Micro-D interfaces Hands-on prototyping, CNC machining, additive manufacturing, or fabrication experience What Makes This Opportunity Unique This role offers the opportunity to help establish a launcher systems capability from the ground up within a rapidly growing advanced defense environment. The engineering team is looking for someone with true launcher domain expertise — not simply general mechanical design experience. The right person will have significant influence over system architecture, integration strategy, supplier engagement, and long-term platform development. You’ll work closely with multidisciplinary teams developing mission-critical systems that must operate reliably in highly demanding operational environments. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $180,000 – $230,000 / year

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Director of Global Logistics An advanced hardware and defense technology company is seeking a Director of Global Logistics to build and lead its end-to-end logistics and international shipping operation. This is a highly strategic and hands-on leadership role focused on standing up scalable global logistics infrastructure from the ground up. The ideal candidate has experience operating in complex, fast-moving environments where they were responsible not only for execution, but also for designing the systems, workflows, and processes behind the operation. The role will oversee international shipping, freight forwarding, customs coordination, export compliance, and logistics operations supporting highly regulated hardware programs and global customers. Responsibilities Global Logistics & Shipping Operations Own all inbound and outbound logistics operations across domestic and international channels Manage carrier selection, routing strategies, freight forwarding partners, and shipment execution Coordinate closely with Manufacturing, Supply Chain, and Program teams to ensure successful delivery execution Ensure shipments are delivered on time, compliantly, and without damage Build scalable shipping workflows capable of supporting increasing production volume and global operations Export Compliance & International Trade Ensure compliance with ITAR, EAR, and other applicable export regulations Oversee export classifications including ECCN and USML categorization Manage international shipment execution including government and defense-related programs Coordinate with customs brokers, freight forwarders, and external logistics providers Maintain documentation, audit readiness, filings, and shipment records Process Development & Operational Scale Establish logistics infrastructure, documentation standards, SOPs, packaging procedures, and shipment workflows Implement scalable operational processes and systems for shipping and trade compliance Help define organizational structure and operational ownership across logistics functions Partner cross-functionally to improve visibility, efficiency, and operational readiness Risk Management & Issue Resolution Identify and mitigate shipping, customs, compliance, and operational risks Resolve shipment delays, customs holds, and transportation issues Act as escalation point for critical logistics and trade-related problems Qualifications 10+ years of experience in logistics, global shipping, international trade, or export operations Strong experience with international freight forwarding and customs processes Working knowledge of ITAR, EAR, export controls, and trade compliance requirements Experience managing customs documentation, brokers, and global shipment execution Proven experience building or scaling logistics operations, processes, or teams Ability to operate both strategically and tactically in a fast-paced environment Strong cross-functional communication and operational leadership skills Preferred Experience Defense, aerospace, advanced manufacturing, or other regulated hardware industries Experience supporting FMS, government, or defense-related shipment requirements Familiarity with ERP, WMS, or TMS platforms and logistics system integrations Experience managing 3PLs, freight forwarders, and external logistics partners at scale Exposure to ATA Carnet processes and temporary import/export workflows Startup, scale-up, or high-growth operational experience strongly preferred Licensed Export Compliance Officer certification or equivalent experience is a plus What Makes This Opportunity Unique This is an opportunity to build a global logistics function from the ground up inside a rapidly scaling advanced hardware environment. The company is looking for someone who can create structure, processes, and operational rigor where little infrastructure currently exists. The right person will have significant ownership and influence across logistics strategy, trade compliance, operational scaling, and international execution. The role is best suited for someone who enjoys building systems, solving complex operational problems, and operating close to hardware, manufacturing, and mission-critical delivery timelines. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Onsite collaboration environment 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via LinkedIn: LinkedIn: https://www.linkedin.com/in/ra... Salary: $120,000 – $180,000 / year

Location: Munich Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Bangalore, India Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Brussels, Belgium Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Abu Dhabi, United Arab Emirates Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Amsterdam, Netherlands Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Barcelona, Spain Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Sao Paulo, Brazil Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.