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Location: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. You will own our Kubernetes product end to end: a metal-to-on-demand platform built on in-house infrastructure, with GPU support for training, inference, and general-purpose compute. Kubernetes is our product, not just our platform — we run it on infrastructure we own end to end. You will decide how the control plane scales, how GPUs get scheduled, and how quickly a rack of bare metal becomes an on-demand cluster a customer can use. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. This is a role for an engineer who leads from the front because that is where the work is, not because management was the next rung on the ladder. WHAT YOU WILL DO - Design and ship the control plane. You build alongside your team and own the architecture and the hardest implementation decisions — scheduling, operators, provisioning, node lifecycle. - Grow the engineers, not just the software. You set the standard for ownership, remove the obstacles in their way, and coach them past their comfort zone until the work they ship surprises them. - Own the reliability of the Kubernetes control plane. It is the team's headline KPI. You make the calls when it breaks at 3am, and your engineers learn from how you do it. - Shrink the distance from metal to on-demand. Provisioning a cluster should be minutes of automation, not weeks of tickets. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. - Own people management for the team: hiring, performance, growth paths, and honest feedback — the leadership work that never becomes someone else's job. - Define the team's processes and execution rituals as it grows. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger — and ideally built parts of it: operators, schedulers, controllers. You understand what happens underneath it, and you have worked on Linux directly, not just on managed services that sit on top of it. - You have run GPU workloads on Kubernetes, or you are confident you can own that domain fast. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code other engineers depend on. - Extensive experience building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a founding people-leadership role. There is no team to inherit and no legacy to maintain — you build the team as well as the stack, and you are accountable for both from day one. Early on you will be deliberately hands-on, because there is no one else to solve the hardest problems — but hiring your first engineers, coaching them, and setting their growth paths starts immediately, not later. If you are looking for a senior IC role, this is not it. You will be the founding Engineering Team Lead for storage on our cloud. Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks. As the team grows, the balance shifts toward people leadership, and you decide how fast. You will own capacity planning across datacenters and the architecture that keeps data durable when disks, networks, and entire sites fail. Storage is a strategic bet for this org: the team you build and the calls you make will define how a gigawatt of European compute stores its data. WHAT YOU WILL DO - Stand up the storage stack — block, file, object — for training, sandbox, and general compute workloads. - Make the build-vs-buy calls: deploy and harden vendor platforms where they win; design and write our own services in Go where they don't. - Own the data plane: allocation, duplication, tiering, backup and recovery, S3-compatible APIs. - Plan capacity across datacenters and across failure domains — petabytes, not terabytes. - Build the team from zero: make the first hires, onboard and coach them, own performance and growth paths, and set the standard for ownership. - Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window. - Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains. - You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us. - You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each. - 8+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it. AI agents don't run in browsers. They run in sandboxes — and you will lead the team building ours. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Write Go alongside your team and own the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 8+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Guatemala; San Jose, Costa Rica Workplace: fully About The Role: At Paysend, we're building the future of global payments - making money movement simple, fast, and accessible for everyone. As an Application Support Analyst, you'll play a critical role in delivering on that promise by ensuring our platforms run reliably and our customers can send and receive money without interruption. The Application Support Analyst owns the health of our transaction ecosystem end to end: investigating individual transactions and broader flow anomalies, detecting issues before they escalate, supporting release deployments and post-release system verification, and driving incidents to resolution across both our B2C and Enterprise product lines. You'll work with large volumes of real-time payment data, using tools like Oracle SQL, Postman, OpenSearch, and Grafana to trace transactions, diagnose root causes, and keep critical payment services running smoothly. This role is ideal for someone who enjoys solving complex problems, thrives in a fast-paced environment, and wants to make a tangible impact on the experience of millions of customers around the world. What You'll Do (Responsibilities): Transaction Administration: Analyze, track, and manage end-to-end payment transaction flows using Oracle SQL, Postman, and OpenSearch. System & Performance Monitoring: Maintain business-critical payment services, track SLA windows, and actively monitor system health using Grafana and related tools. Incident Management & Resolution: Conduct incident response efforts, including root-cause investigations, documentation of incident reports, and coordination of cross-functional teams to resolution. Stuck & Flagged Transaction Handling: Resolve transactions flagged for manual parsing and investigate payouts or funding stuck in pending status (>3 days), updating statuses or escalating as needed. Partner & Bank Communication: Serve as a point of contact for partners and banks to resolve processing issues, file-loading discrepancies, and data reporting corrections. SAR & PDP Reconciliation: Troubleshoot SAR reconciliation issues, including unmatched transactions, missing/duplicate report data, and platform data mismatches. Releases & Deployment: Coordinate, execute, and roll back service releases, verifying post-release system health and performance graphs. What You Bring to the Team: Problem-solving mindset with the drive to investigate novel issues and determine solution steps independently Technical Troubleshooting: Practical experience using SQL for data querying, alongside Postman to read API documentation and debug partner integrations. Monitoring & Operations: Basic Linux, network, or cloud administration experience. Incident & Escalation Management: Ability to manage concurrent, time-sensitive incidents under strict SLA windows, moving from root-cause analysis to final resolution. Cross-Functional Collaboration: Experience interfacing with external entities (banks, PSPs, processors) and internal stakeholders (Engineering, Settlement, Customer Support). Programming Literacy: Basic skills in any programming language to read code, run scripts, or inspect data payloads. Communication Skills: Advanced written and verbal English skills for managing communications with internal teams and external financial partners. Nice To Have Experience working directly with OpenSearch for log and transaction analysis. Hands-on experience with team collaboration tools (Slack, Google Workspace, Jira, Confluence). Domain knowledge in financial workflows, payment lifecycles, and core fintech terminology. Bachelor's degree in Computer Science, Information Systems, or a related operational field. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. About the Role We are seeking a Payload System Software Integration Engineer to lead the integration of software for advanced digital telecommunications payloads. In this role, you will coordinate software integration across complex distributed systems, support the development of Software Defined Radio (SDR) and digital beamforming technologies, and work closely with multidisciplinary teams to ensure seamless system performance. The ideal candidate has strong experience in software integration, embedded systems, and aerospace or telecommunications environments. Key Responsibilities Lead software integration activities for digital telecommunications payload systems. Integrate and validate software across complex, distributed system architectures. Collaborate with hardware, software, systems, and test engineering teams to ensure successful system integration. Support the development and integration of Software Defined Radio (SDR) and digital beamforming technologies. Work with embedded software, real-time operating systems (RTOS), FPGA interfaces, and communication protocols. Develop and maintain automated testing and CI/CD pipelines to improve software quality and deployment. Identify, assess, and mitigate technical risks associated with software integration. Prepare technical documentation and support system verification and validation activities. Required Qualifications Bachelor's degree in Software Engineering, Computer Science, Electrical Engineering , or a related field. 5+ years of experience in software development and integration, preferably within the aerospace or telecommunications industry. Experience leading software integration activities in complex, distributed systems. Strong understanding of digital telecommunications payloads, including Software Defined Radio (SDR) and digital beamforming architectures. Familiarity with: Embedded software development Real-Time Operating Systems (RTOS) FPGA interfaces Communication protocols Hands-on experience with: Test automation CI/CD practices GitLab Jenkins Python MATLAB Docker Strong collaboration, communication, and technical risk management skills. Preferred Qualifications Experience supporting satellite payload or space systems integration. Knowledge of aerospace software development lifecycle and systems engineering practices. Experience with mission-critical or safety-critical software systems. Familiarity with satellite communications or digital payload technologies.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. Relocation assistance may be available for qualified candidates. About the Role We are seeking a Digital Payload Principal Systems Engineer to provide technical leadership in the architecture, design, and delivery of next-generation digital satellite payloads. In this role, you will lead end-to-end systems engineering activities, define payload architectures, drive technical trade studies, and oversee system verification throughout the program lifecycle. The ideal candidate has extensive experience in satellite communications, digital payload systems, and LEO/MEO constellation architectures, with a proven ability to lead multidisciplinary engineering teams on complex aerospace programs. Key Responsibilities Lead the end-to-end architecture and design of advanced digital satellite payloads. Define system requirements, conduct trade studies, and perform capacity analysis. Support program execution, technical planning, and proposal development. Collaborate with customers and cross-functional engineering teams to deliver mission-critical solutions. Lead and participate in system design reviews throughout the full program lifecycle. Define requirements for key payload subsystems, including: Onboard digital processing Phased-array antennas Feeder links Optical Inter-Satellite Links (ISLs) Oversee system integration, test planning, verification, and validation activities. Provide technical leadership and mentorship to engineering teams. Required Qualifications Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Physics , or a related field. 15+ years of experience in satellite payload or communications systems engineering. Strong background in LEO/MEO constellation architecture and digital payload systems . Experience leading multidisciplinary engineering teams and complex technical programs. Strong knowledge of: Digital communications Digital signal processing (DSP) Software Defined Radio (SDR) Phased-array antenna systems Networking technologies Familiarity with simulation tools, space environments, and orbital mechanics. Excellent communication, collaboration, and technical leadership skills. Preferred Qualifications Experience with 5G Non-Terrestrial Networks (5G NTN) . French language proficiency is an asset. Experience leading end-to-end satellite payload development programs. Strong background in system architecture, verification, and mission planning for commercial or government satellite systems.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field . Open to candidates across experience levels . Strong C/C++ programming experience. Experience with real-time operating systems (RTOS) . Familiarity with hardware/software integration and real-time system constraints. Experience with simulation and hardware-in-the-loop environments . Must be able to work on-site in Torrance, CA . Active or eligible for a Top Secret security clearance . U.S. work authorization and applicable export-control requirements apply. About the Role We are seeking Flight Software Engineers to design, develop, integrate, and test high-performance real-time embedded software for advanced flight systems. This is a hands-on engineering role focused on building robust software for demanding, safety-critical environments , while working closely with GNC, systems, and hardware teams. What We’re Looking For We’re looking for engineers who enjoy solving difficult real-time systems problems and can develop reliable flight software while working closely with hardware, GNC, and systems engineering teams. Key Responsibilities Design, develop, and test real-time embedded flight software . Collaborate with GNC engineers, systems engineers, and hardware teams. Develop and maintain software for high-reliability and safety-critical environments. Support simulation, hardware-in-the-loop, and flight testing . Participate in root-cause analysis and debugging across software and system interfaces. Follow rigorous software lifecycle and configuration-management practices. Support software verification and validation activities. Contribute to development processes, tools, and engineering standards. Evaluate emerging technologies and best practices relevant to flight software and real-time systems. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Aerospace Engineering, or a related field. C/C++ programming experience. Experience with RTOS. Understanding of hardware/software integration. Familiarity with real-time system constraints. Experience with GNC systems or other control-intensive applications . Strong understanding of simulation and HIL testing. Excellent problem-solving skills and attention to detail. Ability to work effectively in a fast-paced multidisciplinary environment. Active or eligible for a Top Secret security clearance. Preferred Qualifications Flight software experience for missile, launch vehicle, or spacecraft systems . FPGA-based systems experience. Embedded software optimization experience. Secure software development or cybersecurity knowledge. Familiarity with agile or iterative development methodologies. Hands-on software verification, validation, and integration experience in defense environments.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Electrical Engineering or a related field . Strong experience with complex digital or mixed-signal hardware design . Experience with high-speed digital systems, embedded processors, memory interfaces, and board-level architecture . Hands-on PCB design and hardware bring-up experience. Experience using oscilloscopes, logic analyzers, and power supplies . Experience with board validation, debugging, and root-cause analysis. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Ability to obtain and maintain applicable U.S. Government security clearance or authorization, if required. About the Role We are seeking experienced Avionics Hardware Engineers at the Senior and Staff levels to work on high-speed digital design, flight computer architecture, and advanced avionics hardware. This role is focused on complex embedded hardware for mission-critical systems, with ownership spanning architecture, board design, bring-up, validation, and integration . What We’re Looking For We’re looking for experienced hardware engineers who can take ownership of complex avionics hardware , solve challenging hardware problems in the lab, and work closely with multidisciplinary teams from architecture through integration. Key Responsibilities Design and develop advanced board-level electrical hardware, including: Schematic capture PCB layout oversight Component selection Interface definition Own high-speed digital and embedded flight computer architectures involving processors, memory systems, and board-level integration. Perform board bring-up, validation, debugging, and root-cause analysis in the lab. Test reference boards and early prototypes using standard laboratory equipment. Drive signal integrity, power integrity, and hardware reliability throughout the design lifecycle. Collaborate with avionics, embedded software, test, and manufacturing teams. Support hardware/software integration and troubleshooting across avionics platforms. Document designs, test results, and engineering changes. Required Qualifications Bachelor’s degree in Electrical Engineering or related field. Strong experience designing complex digital or mixed-signal hardware. High-speed digital systems experience. Experience with embedded processors, memory interfaces, and board-level architecture. Experience with PCB design tools; Altium preferred . Hands-on experience with oscilloscopes, logic analyzers, and power supplies. Strong understanding of digital systems, signal integrity, power distribution, and hardware debugging. Ability to work effectively in a fast-paced, highly collaborative environment. Preferred Qualifications Experience with flight computer, avionics, or embedded compute architectures . Experience taking complex PCBAs from concept through bring-up, validation, and integration. Exposure to embedded systems, firmware, or FPGA interaction. Experience in aerospace, automotive, robotics, defense, or other high-reliability hardware environments. Familiarity with Ethernet, SPI, I2C, UART, CAN, PCIe, or DDR memory systems . Basic scripting or programming experience using Python, C, or C++ .

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through: - Model-centric innovation: Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations). - Cross-disciplinary collaboration: Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact. WHAT YOU WILL DO - AI/ML Research: Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability. - Data creation: Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines. - Algorithm Design: Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding). - Interdisciplinary Bridge: Work closely with domain scientists to identify AI opportunities and refine models based on feedback. - Tooling & Infrastructure: Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts. - Autonomous Innovation: Set a research agenda for AI in science, exploring high-risk/high-reward ideas.   WHAT WE'RE ARE LOOKING FOR - AI/ML Expertise: Strong background in LLMs, deep learning, or agentic AI, with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation. - State-of-the-art Knowledge: Familiarity with the latest advancements in LLM architectures and post training. - Technical Depth: Hands-on experience with PyTorch/TensorFlow/JAX, model optimization, and scaling techniques (e.g., fine-tuning, RLHF). - Scientific Capability: Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions. - Engineering Rigor: Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices. - Collaboration: Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs. - Mindset: Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment). MOTIVATIONAL PARAGRAPH When applying for the AI for Science team at Mistral, please describe in a short paragraph a potential project that you would like to contribute to the team, why it is challenging and interesting in general, and more specifically for Mistral. Please also highlight the specific skill set that you can bring to the team. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Fully Remote Workplace: Remote A QUICK RUN-DOWN OF THE JOB We're looking for a Data Product Lead to own the direction and output of LI.FI http://LI.FI's Data team. This is partially a hands-on role with a clear focus on analytics and product thinking. You'll spend a significant portion of your time on the data yourself: deep-dive analyses, dashboards, business cases, and sharing insights that shape how we make decisions across the company. The rest of your time goes to product thinking, prioritisation, stakeholder management, and leading the team. You'll report to our CTO and line manage the Data team, partnering closely with our Data Tech Lead who owns the technical and infrastructure side. Think of it as the PM-and-tech-lead model: you own the what and why, your tech lead partner owns the how. Together you set the roadmap and priorities for the team. Please note: This role is remote within the EMEA region. Your application will not be considered otherwise. WHAT YOU'LL DO - Own the Data team's priorities, intake, and triage; run team rituals including planning, reviews, and workshops - Do hands-on analytics work: deep-dives, dashboards, business cases, and recommendations that change decisions, including data inputs for the weekly report and Monthly Business Review - Partner with Product Managers to embed tracking and success metrics into PRDs, and align the data roadmap with product roadmaps - Translate business questions from stakeholders into clear specs, metric definitions, and acceptance criteria the team can deliver - Act as the quality gate on analyses, dashboards, and datasets before they reach internal or external stakeholders - Coach and develop the Data team, levelling up team members on problem framing, communication, and stakeholder management - Partner with the Data Tech Lead to co-own the roadmap, making sure infrastructure work serves real business needs WHAT MAKES A GOOD CANDIDATE - 6+ years in data analytics, analytics engineering, or data product work, with experience leading people or setting priorities for a small team - Expert SQL: you can pull, validate, and challenge data independently, without relying on engineers - Hands-on experience building dashboards and reports in BI tools (Omni, Superset, or similar) - Strong business and product mindset: you use data to find revenue, pricing, or growth opportunities, not just to answer questions - Enough technical depth to be a real partner to data engineers; comfortable discussing warehouse design, pipelines, data models, and trade-offs - Proven stakeholder management and communication skills, with the ability to work across product, engineering, finance, BD, and C-suite - Strong data storytelling: you adapt the message to technical and non-technical audiences - Crypto/DeFi domain experience: ideally in a data role at a crypto company, or demonstrable deep understanding of the space (cross-chain, DEX aggregation, bridges, or wallets) - Comfortable in a fast-paced, high-growth environment where priorities shift and you'll need to build some of the playbook as you go NICE TO HAVE - Python - dbt and dimensional modelling - Semantic layer design and metric definition management - AI-readiness: structuring data, metrics, and documentation so they can be reliably consumed by LLMs and agents - ML modelling experience (forecasting, classification, anomaly detection) - On-chain data and tooling (e.g. Dune Analytics) - Exposure to streaming data (e.g. Kafka) We encourage you to apply if you feel your experience and skills equip you for this job but are not listed here! COMPANY CULTURE - Embracing the differences - Embrace your own differences - Respect and welcome the unique qualities of others - See others’ differences as an opportunity to grow - Own it, do it - Own tasks end-to-end - Hold yourself to a high bar for execution - Make bold decisions, and be accountable - Understand your limitations and seek for help - Fail forward - Try - don’t be afraid to fail - Learn - don’t make the same mistake twice - Adapt - grow with the experience - Have fun together - Take the time to get to know and understand each other better - Don’t take yourself too seriously and keep it light-hearted - Fun should be coming from a place of love and respect WHAT YOU’LL GET - Annual company offsites — we've explored Thailand, Vietnam, Morocco, and Greece together. Next stop for 2027: TBD! - 30 days of PTO - Flexible remote days - Flexible working hours - Equity participation from day 1 - Entitlement to work computer (choice of equipment) - An annual 1,000€ personal development budget once you have worked 6+ months (pro-rated the first year) - A one-time 1,000€ remote budget to use on coworking, office setup, etc. If you join us as an independent contractor, you’re only entitled to the first five benefits of this list. APPLICATION PROCESS Setting yourself up for success starts with the application! Click here https://www.notion.so/Setting-yourself-up-for-a-great-start-112f0ff14ac780d58c6ee346f3856bec?pvs=21 to discover valuable tips that will help you navigate our application process effectively. LI.FI http://LI.FI is an equal opportunity employer. We encourage individuals of all backgrounds to apply. Join us in our dedication to fostering a workplace that values and respects each team member's unique contributions. Shortlisted candidates will undergo a comprehensive interview process, including a people operations interview, a take-home assignment, a meet-the-team & founder interview, and a reference check. For more information, visit our page https://www.notion.so/Hiring-Process-at-LI-FI-2e3ec55d96114976abc635866ae73ea3?pvs=21 detailing our hiring process!

Location: US - Hybrid - Massachusetts - Boston, US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: The Services Architect is an advanced individual contributor within the Services Architecture team, contributing to the technical direction, quality, and delivery of content across the Professional Services Portfolio. Operating with a high degree of autonomy while aligning with the overarching portfolio strategy, this role leads the design and execution of net-new consulting service offerings, courses, and enablement programs, and helps establish standards for the broader team. In this position, the architect provides technical guidance across team projects, handles content and offering escalations, and actively mentors Associate Services Architects. Working in close collaboration with portfolio leadership, the role supports offering strategy and product roadmap alignment, while periodically teaching customer classes or delivering service engagements to ensure content remains grounded in real-world customer experience. Your Opportunity: Strategy & Portfolio Leadership Portfolio Direction: Shape the Professional Services Portfolio by identifying gaps and opportunities and proposing and prioritizing new offerings aligned with corporate strategy and product roadmaps. Offering Ownership: Design, draft, and update consulting service offerings, enablement content, educational material, and technical presentations for webinars and events, and lead development of the most complex and strategic net-new offerings. Standards & Quality: Maintain high technical, content, and lab quality standards across the portfolio, ensuring that project outputs and contributions, including work from Associate Services Architects, consistently adhere to established team standards and templates. Roadmap Alignment: Stay informed about Tenable product changes, evaluate requirements for offering updates, and plan portfolio updates well ahead of product release. Advisory: Advise the Senior Director, Services Portfolio, on offering strategy, resourcing, and delivery risk. Content Development & Delivery Requirements Review: Review user and technical requirements for completeness and clarity. Collateral: Create collateral for new offerings and evaluate existing offerings and content for accuracy and relevance. Pre-Production Training: Deliver pre-production training sessions to evaluate product suitability and gather early feedback. Live Demonstrations: Create live demonstration recordings for the Tenable product suite. Content Review: Perform content reviews with peers in Services, Technical Support, Customer Success, and Product Management to ensure quality and alignment with customer needs, and act as the final technical approver for release. Customer Experience: Periodically teach customer classes or deliver service engagements to obtain intimate knowledge of the customer experience. Strategic Engagement & Support Field Perspective: Collaborate with Professional Services peers to understand the field perspective on service and training offering requirements. Customer & Partner Engagement: Engage with customers and partners to analyze market trends and the competitive landscape, and translate findings into portfolio decisions. Problem Solving: Provide solutions to a wide range of difficult problems while maintaining a positive attitude and positive working relationships, gathering information to support data-driven decisions. Escalation Support: Act as the final escalation point for Customer Care, Services, and Product escalations relating to portfolio content that the Associate Services Architect cannot resolve. Staying Current: Remain abreast of corporate direction and strategy, product roadmaps, messaging, and emerging trends in the security industry. Project, People & Process Delivery Oversight: Independently manage assigned projects and provide delivery oversight of team members’ projects to ensure delivery on schedule and on budget. Mentoring: Mentor and develop Associate Services Architect colleagues, including setting expectations for the Associate role’s intake and review. Process Improvement: Remain abreast of educational learning frameworks, content development approaches, and technologies that may reduce cost or shorten development timelines, and drive adoption where they do. Other Duties: May perform other duties and responsibilities that management may deem necessary from time to time. What You'll Need: Experience Security Foundations: 5+ years of overall experience in Information Security. Vulnerability Management & Cybersecurity: 1+ years of experience in vulnerability management and broader cybersecurity operations, ideally utilizing enterprise assessment tools such as the Tenable product suite. Services Experience: 3+ years of professional services, technical support, or sales engineering experience. Curriculum Design: Proven experience designing and delivering technical curricula, training, and customer enablement programs, as well as leading others to do so. Knowledge and Education Education: B.S. degree in Computer Science or a related field preferred; equivalent experience considered. Technical Depth: In-depth knowledge of Windows and Linux operating systems and of TCP/IP networking. Emerging Domains: Working knowledge of web application security, container security, cloud environments (AWS/Azure), and ICS/SCADA systems, with in-depth expertise in at least one. Security Tools: Familiarity with security assessment tools such as Nessus, Kali Linux, and Metasploit. Other Requirements Communication: Strong written and verbal communication skills, including the ability to present to senior internal and customer audiences. Collaboration: Strong interpersonal skills with the ability to work effectively with internal and external stakeholders, including at a senior level. Autonomy: Strong initiative and the ability to work remotely, both in a self-directed manner and as part of a geographically distributed team, setting direction for others without day-to-day supervision. #LI-Hybrid #LI-MS1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $145,000 — $193,666.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Munich; Warsaw; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: 1. Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. 2. Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. 3. Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed.   What You Will Do INFERENCE ENGINE & ORCHESTRATION - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them PERFORMANCE & CAPACITY AT SCALE - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing SERVING FOR FRONTIER TRAINING - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads   What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Dubai, 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 We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. 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: San Francisco, United States 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 We are seeking a highly driven Head of AI Expansion to lead the global adoption of Tether’s AI ecosystem, with a focus on QVAC and decentralized, privacy-preserving AI infrastructure. The role will engage leading enterprises, institutions, and governments globally, helping them deploy AI solutions built around local computing, data sovereignty, privacy, and independence from centralized cloud infrastructure. This is a hands-on leadership role combining exceptional commercial and relationship-building capabilities with deep AI knowledge. You will identify and prioritize opportunities, structure complex projects, close strategic partnerships, monitor success of partnerships and build the team required to scale Tether AI globally. The ideal candidate can comfortably move between technical discussions with AI and engineering teams and strategic conversations with CEOs, CTOs, CIOs, and government leaders and should be used to work in multiple geographies/ cultures. International travel is required. Responsibilities Business Development & Partnerships Drive global adoption of QVAC and Tether AI across enterprises, institutions, and governments. Identify organizations where local, private, decentralized, or sovereign AI provides a strategic advantage. Match use cases with needs of identified organizations and build business cases for the implementation of the use case Nurture existing and build new relationships with CEOs, CTOs, CIOs, AI leaders, and government stakeholders. Personally originate, structure, negotiate, and close strategic AI partnerships and deployments. Develop partnerships across the AI ecosystem, including compute, hardware, infrastructure, and technology providers. Monitor performance of partnerships, proactively identify risks and design mitigation plans Market Strategy & Execution Define and execute Tether AI’s global go-to-market strategy. Identify priority markets, industries, and high-value AI use cases. Co-develop with clients their requirements and translate them into deployable solutions together with product and engineering teams. Build and manage a global pipeline of strategic AI opportunities. Monitor market, competitive, regulatory, and technological developments. Team Leadership Build and lead the AI Expansion team globally. Recruit expansion managers, partnership leads, solution architects, and other key profiles. Establish KPIs, execution playbooks, and commercial processes. Work closely with Tether’s AI, engineering, product, and regional Expansion teams. Strategic Representation Position Tether as a strategic partner for organizations seeking AI sovereignty, privacy, resilience, and infrastructure independence. Represent Tether AI in strategic meetings, government engagements, conferences, and industry forums. You Have 7+ years of experience across AI, enterprise technology, infrastructure, or technology business development. Strong knowledge of AI/ML, LLMs, inference, local/edge computing, data infrastructure, and decentralized architectures. Proven experience personally originating, structuring, and closing large enterprise technology deals and partnerships. Strong relationships with senior decision-makers across enterprises, technology companies, and/or governments. Exceptional communication, negotiation, and relationship-building skills. Experience building and managing high-performing teams. Entrepreneurial mindset and ability to operate independently in fast-moving environments. Degree in AI, Computer Science, Engineering, Business, or related field. 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: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Money Domain’s strategy into executable technical programs. Lead Complex Cross-Organization Execution — Money Domain interacts with capabilities across consumer, merchant, courier, order and enterprise domains, payment processing, payouts, fraud and risk, regulatory compliance, accounting, financial data and platform infrastructure. You will establish clear ownership and milestones, surface critical dependencies and tradeoffs, and drive alignment across teams when the path forward is not obvious. Bring Technical Depth and Systems Thinking - You will develop a deep understanding of the architecture, integrations, data flows, and operational systems behind Money Domain (Financial Systems). You will engage in technical designs, identify scaling and reliability risks, understand how decisions in one part of the system affect end-to-end consumer, rider/ courier, and merchant experiences, and help teams make pragmatic tradeoffs. Turn Ambiguity into Strategy and Action - Many of our hardest problems do not begin with a clean scope or a single owner. You will truth-seek across technical and business inputs, frame the problem, clarify the definition of success, develop a point of view on risks and options, and create an execution path that teams and leaders can align behind. Connect Engineering Execution to Business Outcomes - You will understand the merchant, partner, customer, and economic outcomes behind the work and use that context to guide prioritization and execution. We're excited about you because… You’re experienced in working with engineering teams on  large-scale distributed systems and/or b2b products. You can speak to system architecture, scalability and reliability decisions, and design trade offs. You’re a strong leader with the ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. You have strong ownership, urgency, and drive. You are willing to roll up your sleeves and dive into the details to understand and drive your programs. You have excellent written & verbal communication skills with the ability to communicate with confidence, clarity, and focus. You can convey concepts and considerations to non-experts and experts alike. You’ve engaged with Engineering teams on product & platform development with a thorough understanding of software development processes and project planning. You are pragmatic and detailed in your approach and focus on progress, not perfection. Qualifications Bachelor’s Degree with experience in Computer Science, Software Engineering or other related discipline. 5+ years recent experience as a Technical Programme Manager at a technology/ FinTech company, in Financial Systems. Experience with regulatory compliance in Financial Systems, e.g. SOX, PSD2, or equivalent would be an advantage. Experience in large-scale distributed systems and system architecture. Experience working directly with engineering teams on product development, with a thorough understanding of software development processes, system architecture, and scalability trade-offs. Project planning and execution skills that include reviewing technical design documents, estimating, and scheduling. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Разрабатывать, обучать и внедрять ML/DL-модели для бизнес-задач. Строить AI-агентов и multi-agent workflows с tool/function calling, MCP и LangGraph/LangChain (или аналогами).

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

• Manual & automated testing. • Design, execute and automate test cases.