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Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. What you’ll do As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware. Required Skills and Experience Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus. Responsibilities Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures. Pay and benefits Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.

Location: India We are offering a driven and innovative individual an opportunity to become part of our company (MortgageCadence) as a SEO Specialist. We are looking to add new people to our ever-growing team and are seeking to find people to grow along with us! Do you think outside the box? Are you driven? Do you wake up daily desiring to win? Do you want to create a strong marketing program and brand image? Well, if so, we encourage you to apply with us as this is a place where we will help you to thrive in our growing enterprise. We Are Looking For Someone Who Can: Create marketing strategies with a focus on lead generation. Take ownership in developing and executing SEO campaigns. Manage and keep fresh content on our website. Analyze website conversation rates and the effectiveness of promotions. Utilize Google ads to drive a variety of online marketing campaigns Work with the product development team to estimate product demand Requirements Experience of planning successful product launches and events. Has between 5 to 8 years of experience. Previous experience in running successful SEO campaigns. Knowledge of market-related business practices, including content development, market research and budgeting. Has some technical knowledge of Wordpress, Google Suite and the Adobe Creative Suite. Previous experience with SEO programs (Google Analytics) An outgoing personality and enjoys working with a dynamic team. Benefits

Location: Palo Alto; New York; San Francisco; Montréal 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 Role At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.   What You Will Do - Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads. - Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms. - Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs. - Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations. - Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.   What We're Looking For - Strong Linux system administration experience at scale. - Proficiency in Slurm and/or Kubernetes to manage workloads effectively. - Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus. - Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions. - Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape. 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; Stockholm; Madrid; Amsterdam; 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 Role At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies. What You Will Do - Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads. - Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms. - Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs. - Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations. - Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform. What We're Looking For - Strong Linux system administration experience at scale. - Proficiency in Slurm and/or Kubernetes to manage workloads effectively. - Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus. - Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions. - Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape. 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: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own a part of the agentic stack and are the go-to person for it across the company You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 5+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact. WHAT YOU’LL ACHIEVE - Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback. - Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations. - Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research. - Build internal tools and platform improvements that help all engineers ship quickly and safely. - Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs. AREAS YOU MIGHT WORK ON - Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value. - Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation. - Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000 By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE - Lead large-scale brand campaigns across digital, events, and out-of-home. - Partner with engineering and product marketing on major product launches. - Turn complex technical ideas into clear, compelling visual communication. - Evolve the Baseten visual identity into a brand system that scales. - Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. - Shape our employer brand and help define how new hires experience Baseten. - Raise the bar for craft across every customer touchpoint. REQUIREMENTS - You have a portfolio of exceptional work with outstanding visual craft and attention to detail. - You care deeply about quality and sweat the details. - You communicate ideas clearly and thrive in collaborative environments. - You know when to build systems, not just execute on assets. - You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. - You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. - You thrive in a fast-moving environment with a high bar for quality. - You have strong opinions about design and can articulate why something works - and why it doesn't. NICE TO HAVE - Motion design and animation experience - Experience designing for developers or highly technical audiences. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Costa Mesa, United States WHAT YOU’LL DO: Utilize first principle methods and design tools to develop new aircraft products Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination) Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members Onsite engineering support at manufacturing and integration sites REQUIRED QUALIFICATIONS B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience 5+ years of experience in aerospace or related industry Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies Proven ability to design high performance structures and execute their fabrication Self-directed, results oriented, and capable of working in a dynamic environment Excellent time management, organizational, and communication skills Ability to obtain and maintain US DoD Secret Clearance or higher PREFERRED QUALIFICATIONS Experience with clean sheet aircraft configuration Siemens NX proficiency Experience with fast paced prototype design and manufacture of uncrewed aircraft Experience with high temperature materials selection Broad experience across a range of aircraft programs Hands-on experience with manufacturing Practical aircraft knowledge (pilots license, A&P, etc.)

Location: Costa Mesa, United States WHAT YOU’LL DO: Utilize first principle methods and design tools to develop new aircraft products Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination) Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members Onsite engineering support at manufacturing and integration sites REQUIRED QUALIFICATIONS B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience 5+ years of experience in aerospace or related industry Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies Proven ability to design high performance structures and execute their fabrication Self-directed, results oriented, and capable of working in a dynamic environment Excellent time management, organizational, and communication skills Ability to obtain and maintain US DoD Secret Clearance or higher PREFERRED QUALIFICATIONS Experience with clean sheet aircraft configuration Experience with high temperature materials Experience with thermal gradient structural analysis Siemens NX proficiency Experience with fast paced prototype design and manufacture of uncrewed aircraft Experience with high temperature materials selection Prior experience working in high speed programs Hands-on experience with manufacturing Practical aircraft knowledge (pilots license, A&P, etc.)

Location: Barcelona, Spain; Budapest, Hungary; Düsseldorf, Germany; Frankfurt, Germany; Krakow, Poland; Krosno, Poland; Liège, Belgium; Lille, France; Vilnius, Lithuania; Ljubljana, Slovenia; Lublin, Poland; Lyon, France; Madrid, Spain; Città Vittoriosa, Malta; Podgorica, Montenegro; Poland; Sarajevo, Bosnia and Herzegovina; Banská Bystrica, Slovakia; Sofia, Bulgaria; Stuttgart, Germany; Tenerife, Spain; Wien, Austria; Warsaw, Poland; Zagreb, Croatia; Zürich, Switzerland; Petten, Netherlands; Aachen, Germany; Athens, Greece; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Berlin, Germany; Bolzano, Italy; Bordeaux, France; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bucuresti, Romania; Bucharest, Romania; Buenos Aires, Argentina; Dusseldorf, Germany; Hamburg, Germany; Hannover, Germany; Luxembourg; Amsterdam, Netherlands; Pondicherry, India; Ahmedabad, India; Berat, Albania; Delhi, India; Dnipro, Ukraine; Helsinki, Finland; Bangalore, India Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior Formal Verification (FV) Engineer to join one of our clients' teams. Reporting directly to the Vector Unit Verification Lead, this is a highly technical Individual Contributor (IC) role. In this position, you will be the dedicated formal expert for the VU team, responsible for designing scalable formal testbenches, writing mathematical properties, and ensuring the absolute algorithmic and architectural integrity of our vector pipeline. You will work side-by-side with VU microarchitects to hunt down deep corner-case bugs and achieve formal sign-off on high-complexity arithmetic and execution blocks. Key Responsibilities Block-Level Execution & Convergence Engineering (90%) End-to-End Testbench Ownership: Design, deploy, and maintain robust formal verification environments for complex Vector Unit sub-blocks (e.g., Vector Execution Pipelines, Vector Register File/Rename interfaces, and Vector Floating-Point Units). Datapath & Arithmetic Verification: Implement advanced word-level modeling, bit-blasting, and algebraic rewriting strategies to verify complex IEEE-754 floating-point and integer vector arithmetic units. Proof Convergence Management: Independently diagnose and resolve proof-convergence failures, over-constraints, and state-space explosions using advanced reduction techniques (e.g., case-splitting, black-boxing, and abstraction modeling). RISC-V Vector Compliance: Develop formal environments to mathematically prove that the VU pipeline strictly complies with the RISC-V Vector (V) Extension specification. Simulation Partnership: Collaborate closely with VU simulation engineers to define a razor-sharp boundary between simulation and formal verification, ensuring maximum bug-hunting efficiency and zero coverage gaps. Embedded Mentorship & Best Practices (10%) Formal-Friendly Design: Partner with VU microarchitects during early-stage RTL development to drive formal-friendly coding styles and structural design patterns. SVA Propagation: Review and refine SystemVerilog Assertions (SVA) written by design and simulation peers, establishing best practices for block-level assertions within the VU team. Education: B.S./M.S. in Computer Engineering, Electrical Engineering, or Computer Science with practical industry execution; or a Ph.D. with a research focus on formal methods or computer arithmetic. Experience: 5+ years of production-grade hardware verification experience (or Ph.D. + 1–3 years) with a strong, proven track record of applying formal verification to CPU, GPU, or DSP execution pipelines. Collaboration Style: A self-driven engineer who enjoys deep mathematical puzzles, collaborates seamlessly within a localized block-level team, and can translate complex proof counter-examples into actionable bugs for designers. Datapath Validation Focus: Strong specialization in arithmetic formal verification, algebraic rewriting, and word-level modeling. Familiarity with control-path formal techniques (liveness, safety properties) is highly welcome. Vector Microarchitecture: Good working knowledge of high-width execution pipelines, vector execution units, or floating-point/integer arithmetic hardware. Experience with Out-of-Order execution mechanics is a plus. Formal Tools: Proficient command of commercial EDA formal tools (e.g., Cadence JasperGold/DPV, Synopsys VC Formal, Siemens OneSpin) and their specialized mathematical/datapath apps. Languages: Native fluency in SystemVerilog and SystemVerilog Assertions (SVA). Scripting proficiency (Python, Tcl, or Bash) for testbench automation. Nice to Have RISC-V Core Verification. RISC-V Ecosystem: Familiarity with the RISC-V Architecture, specifically the Vector (V) and Floating-Point (F/D) extension ecosystems. Emulation platforms (Veloce, ZeBu). Core/Bus interface protocols (e.g., AXI/CHI).

Location: London WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 5 years of writing production-quality code in C++ on Linux platform Good understanding of Python language with development experience Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Paris 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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.   - Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations. - Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders. - Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations. - Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.  - Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. WHAT YOU'LL BRING - 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts. - Strong communication skills: Exceptional verbal and written communication abilities. Professional fluency in French and English. - Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. - Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role We are looking for a Senior Software Engineer to design and build the billing platform behind a novel search engine tailored for agentic AI consumption. This role is based in our New York office, hybrid with the NYC team. Our APIs are used by millions of developers and the AI agents acting on their behalf, all paying based on what they consume. You will own the systems that turn product usage into accurate, trustworthy revenue, supporting flexible billing models—usage-based pricing, subscriptions, prepaid balances with auto top-up, and enterprise contracts. Correctness is non-negotiable: every event must be measured precisely and every invoice must be right to the cent. ‌ In this position, your responsibility will be to: Design and operate the billing platform end to end, from usage events to invoices Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts Design and operate prepaid credit/wallet systems with auto top-up and balance management Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct Lead the migration to the next generation of our billing system with no revenue loss or downtime Define observability and quality metrics for billing correctness, freshness, and throughput Ensure billing systems meet audit and compliance requirements ( SOX , financial audit) ‌ What we're looking for : 6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic Hands-on experience with subscription / recurring billing alongside usage-based models Hands-on experience with prepaid credits / wallet systems and auto top-up mechanics Hands-on experience with enterprise / contract billing: custom pricing and negotiated terms End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora) Strong expertise in Python and TypeScript/Node (Go a plus) Production experience with transactional databases (Postgres or equivalent) for financial-grade data Built high-volume event / usage pipelines into a data warehouse (Kafka or Kinesis → Snowflake or BigQuery) Owned billing correctness in production: reconciliation, idempotency, invoice accuracy Product-Led Growth (PLG) experience: worked on billing for high-volume, self-serve users Hands-on with Auth0, Okta, or similar identity systems in production Shipped revenue systems under SOX or financial audit constraints Nice to have: Led a billing system migration or re-platform with zero revenue loss or downtime Built hybrid billing combining usage, subscriptions, and prepaid in one system Worked across both a payments layer (Stripe) and a metering / rating layer (Metronome / Orb) Billed a developer-facing / API product with pay-as-you-go and API-key metering Used Snowflake for usage aggregation and revenue analytics Why Tavily ? Full ownership — small team, you own the entire infrastructure, not a slice of it Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests AI-native company — your infra directly powers AI agents used by leading companies in the space. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack. You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows. What You'll Be Doing Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling. Manage and optimise application security tools, processes, and alerts to maintain a strong security posture. Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams. Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention. Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms. Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis. Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation. Participate in incident response and management activities. Stay current on the latest offensive security techniques, application security threats, and industry best practices. What We Look For In You 5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms. In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications. Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats. Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation. Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work. Strong analytical and problem-solving abilities with excellent verbal and written communication skills. Nice-To-Haves Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million. Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries. In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities. Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers. Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning. Ability to work across multiple mobile platforms simultaneously. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. They are trusted by 300+ million people in 100+ countries for their industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. They leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Задачи: — Присоединиться к полному жизненному циклу разработки программного обеспечения, включая сбор требований, проектирование, кодирование, тестирование и развертывание. — Проектировать и реализовывать масштабируемые и надежные системы на базе Java. — Сотрудничать с командами для определения системных требований и архитектурных решений. — Разрабатывать и оптимизировать инфраструктурные компоненты, такие как базы данных, серверы и сети. — Внедрять автоматизированные решения для развертывания и мониторинга для повышения надежности системы. — Выявлять и устранять узкие места в производительности и системные проблемы. — Реализовывать техники кэширования, балансировки нагрузки и оптимизации. — Поддерживать полную документацию, связанную с архитектурой системы и процессами развертывания. — Мониторить состояние системы, устранять неполадки и внедрять обновления для обеспечения бесперебойной работы. Требования: — Степень бакалавра/магистра в области компьютерных наук, инженерии или эквивалентный опыт в индустрии. — 1-6 лет практического опыта работы с JVM и экосистемой Java. — Владение MySQL и знакомство как минимум с одной NoSQL базой данных. — Знание проектирования распределенных систем и знакомство как минимум с одним посредником сообщений и принципами его проектирования. — Способность справляться со стрессом и быстро усваивать новые знания. — Хорошие навыки межкомандного общения.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity As a Technical Expert, you will lead the development of the company’s core security engineering and DevSecOps capabilities, with a strong focus on security product development, platform engineering, and SDK /Agent development . The ideal candidate should demonstrate deep security expertise, broad technical coverage, strong hands-on engineering capability, and exceptional influence in driving security governance across business teams . What You’ll Be Doing Lead the architecture and core development of the company’s end-to-end DevSecOps platform, security products, and SDKs/Agents , covering code, build, artifacts, images, deployment, and runtime security. Own the design and development of RASP / Java Agent runtime protection , leveraging ASM, ByteBuddy, and Java Instrumentation for bytecode enhancement, runtime hooks, detection and blocking engines, while continuously improving performance, stability, and compatibility. Build and integrate SAST, DAST, IAST, SCA, code security scanning, and image security scanning into CI/CD workflows, and drive deep integration of tools such as SonarQube and Coverity to form a closed loop of scanning, gating, remediation, and re-validation. Drive core application security protection and offensive/defensive capabilities across scenarios such as XSS, SQL injection, SSRF, deserialization, command execution, authentication/authorization flaws, privilege escalation, and API security . Advance AI-Native Security Engineering by applying LLMs and AI Agents to vulnerability analysis, rule generation, false-positive reduction, remediation suggestions, security knowledge management, and workflow automation, while building deep understanding of their architecture, principles, and security implications. Partner closely with business engineering teams to drive security standards, integration rules, quality gates, risk classification, remediation workflows, and overall security governance adoption. Collaborate with engineering, architecture, operations, QA, and business stakeholders to solve complex security problems and turn them into scalable product capabilities, engineering solutions, and governance mechanisms. What We Look For In You Strong fundamentals in computer science and security, with deep understanding of operating systems, networking, compilers/ JVM internals, distributed systems, application security, cloud-native security, and software supply chain security , with both breadth and depth in security technologies. Expert-level Java proficiency , especially in JVM internals, ClassLoader , Java Agent, ASM, ByteBuddy, bytecode instrumentation, profiling, and performance tuning ; proficient in Python or Golang as well. Proven hands-on experience with RASP, SAST, DAST, IAST, SCA, image security, and code security scanning , with the ability to independently design, integrate, and productionize security capabilities. Strong offensive and defensive security experience , with deep understanding of vulnerability root causes, exploitation techniques, detection logic, bypass methods, and remediation strategies in web, API, and microservice environments. Strong practical experience with LLMs and AI Agents , plus deep understanding of model architecture, agent design, tool invocation, context engineering, evaluation methods, and the impact of AI on both security engineering and attacker capabilities. Strong engineering and product mindset, capable of leading the design and implementation of security products, platform modules, and SDKs/Agents while balancing security effectiveness, performance overhead, integration cost, and operability . Strong ownership, communication skills, and cross-functional influence, with a proven ability to drive business teams on security governance, policy adoption, and remediation outcomes. Preferred Qualifications Background from top-tier Internet companies, cloud providers, or leading cybersecurity vendors ; Experience leading DevSecOps platforms, application security platforms, RASP systems, code scanning platforms, or cloud-native security platforms ; Strong experience in security product development, SDK /Agent development, vulnerability research, penetration testing, red/blue team exercises, or incident response ; Hands-on experience in AI + Security initiatives such as security copilots, intelligent rule generation, automated vulnerability analysis, or remediation recommendation systems. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Paris; Amsterdam; Munich; 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. ABOUT THE TEAM The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. ABOUT THE JOB You will be one of the founding engineers of the Applied AI SRE sub-team. Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact. You will operate in four concurrent modes: - BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity. Productize reliability, author runbooks, create SLO templates, implement observability. - RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate. Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems. - ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions. Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything. - SECURE - Own the security operations layer for our customer-side deployments. Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines. This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role. HOW WE WORK IN APPLIED AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. ABOUT YOU • Fluent in English. • 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling. • Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale. • On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset. • Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz. • Infrastructure as code: Terraform, Ansible (or close equivalents). • Proficient in Python and/or Golang for tooling and automation. • Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job. • Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role. • Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in. • Solid Linux internals, networking debug, and distributed-systems fundamentals. STRONG PLUS • Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it. • Experience operating LLM / model-serving stacks in production • Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds). • Open-source contributions, particularly in SRE, observability, or security tooling.     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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: Limassol; Nicosia; Athens; Thessaloniki Workplace: hybrid The Role:  Our team is expanding, and we are hiring an AI Systems Engineer to help drive the adoption, integration, and governance of enterprise AI technologies across the Group Company . You will join a collaborative and forward-thinking team responsible for delivering secure, scalable, and compliant AI platforms that empower employees and enhance business operations.   As an AI Systems Engineer, you will be responsible for the administration and integration of enterprise AI platforms, the development of AI-powered agents and automations, and ensuring that AI services are secure, reliable, and aligned with the Group's technology strategy. Working closely with IT, Information Security, Product Management, and other business stakeholders, you will play a key role in delivering innovative AI solutions that support the organisation's long-term digital transformation. The main responsibilities of the position include: Administer, maintain, and support enterprise AI platforms, including ChatGpt Enterprise, OpenAI Platform, Anthropic Claude ,Microsoft 365 Copilot, Copilot Studio, and third-party AI services Design, develop, and manage AI-powered agents and business automations Using OpenAI, Copilot Studio, AWS Agent Core Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement Develop and maintain enterprise AI connectors, including Connection to Microsoft Graph, Power Platform connectors, Google Workspace API, Chatgpt Custom Apps, and similar connectors Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives Participate in AI strategy discussions, platform evaluations, and technology roadmap planning Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations Main requirements: BSc/MSc in Information Technology, Computer Science, or a related field 3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO) Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers Experience with Azure AI Foundary, OpenAI Codex, Github Copilot, AWS Bedrock Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems Scripting experience using PowerShell, Python, or similar languages for automation and administration Strong analytical, troubleshooting, and problem-solving skills Excellent communication, collaboration, and documentation skills A proactive mindset, strong attention to detail, and commitment to continuous learning The following will be considered an advantage: Experience working within multi-model enterprise AI environments Knowledge of enterprise AI governance, compliance, and security best practices Experience supporting AI adoption initiatives through user training and enablement Exposure to enterprise-scale AI platform administration and operations Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.