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PhD Research Intern, Cross-Disciplinary Vision Sci...
NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAn, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We, the Human Performance and Experience (HPX) team at NVIDIA Research, strive to lead AI innovation by deeply understanding humans. We are looking for individuals who are passionate about cross-disciplinary research in vision between humans and machines. We expect candidates with backgrounds in computer vision, human vision science, robotic vision, and related fields to be well-suited to this position. You will be working in a team of research scientists and engineers from varied backgrounds and closely collaborating with product engineers. Join us in transforming the future of AI and human interaction. What you’ll be doing: Decompose research questions into smaller, more manageable parts and tackle them in iterative steps. Think critically to identify unseen gaps, and creatively bridge them with non-traditional, high-impact solutions. Connect with researchers and product engineers to ground research findings in real-world problems. Lead knowledge dissemination effort, with options for conference, journal, and in-house publication. What we need to see : Currently pursuing a Ph.D. or equivalent academic program, demonstrated by a track record of research and publications. Deep interest in gaming and/or human behavior in related application domains. Training or systematic knowledge and skill in the field of Cognitive Science, Neuroscience, Computer Science/Engineering, Electrical Engineering, or related fields. Proficiency with Python, Rust, and/or C++. Experience with AI model training and evaluation frameworks, like PyTorch. Ways to stand out from the crowd: Experience with quantitatively modeling human perception, cognition, movement, and/or decision-making. Comfortable with modern software development, version-control systems, like git(hub/lab). Experience with multi-node, multi-GPU training and inference workflows. Familiarity with and interest in modern deep learning models, including working with large-scale, multi-modal foundation models (such as recent LLMs, VLMs). Demonstrated public portfolio (e.g. repositories, OSS contributions, notebooks, packages, or technical blog posts with code). Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rates for this position are: US, CA, Santa Clara: 38 USD – 94 USD. US, MA, Westford: 30 USD – 94 USD. US, NC, Durham: 30 USD – 94 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Applied Deep Learning Algorithm Intern, Autonomous...
Are you looking to be part of a fun, creative company at the forefront of groundbreaking technologies? NVIDIA is leading the way in some of the world's most exciting tech areas, including Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. We are widely recognized as one of the most desirable employers, with some of the most forward-thinking individuals in the industry working with us. There has never been a more exciting time to join our team! We are looking for a highly motivated Applied Deep Learning Algorithm Intern to join our autonomous driving team. You will work with experienced engineers on learning-based driving algorithms, supervised fine-tuning, reinforcement learning, data optimization, model evaluation, and multi-carline adaptation. What You Will Be Doing: Develop, train, fine-tune, and evaluate learning-based algorithms for autonomous driving decision-making, planning, and driving behavior. Explore Transformer-based approaches, including VLMs and VLAs, for driving-scene understanding, decision-making, and trajectory generation. Build supervised fine-tuning data workflows and Python tools for scenario mining, data cleaning, filtering, labeling, experiment management, visualization, and model evaluation. Analyze model failures and vehicle logs, mine hard cases, and improve dataset balance, long-tail coverage, and noise quality. Conduct supervised fine-tuning, reinforcement learning, ablation, and evaluation experiments using offline metrics, open-loop replay, simulation, and vehicle-test results. Support model and carline adaptation across multiple autonomous driving programs, including issue analysis, validation, and scaling. What We Need to See: Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Robotics, Mathematics, or a related field. Good Python programming skills and hands-on experience with PyTorch or another deep learning framework. Good understanding of machine learning, deep learning, Transformer architectures, model training, optimization, and dataset analysis. Proficient English communication skills, both written and verbal, with the ability to collaborate effectively with global teams. Able to work at least three days per week throughout the internship. Ways to Stand Out from the Crowd: Experience with supervised fine-tuning, imitation learning, reinforcement learning, behavior cloning, or learning-based planning. Experience using or fine-tuning VLMs, VLAs, or other multimodal foundation models. Familiarity with autonomous driving datasets, trajectory data, vehicle logs, simulation, or scenario-mining pipelines. Strong C++ skills or relevant research, open-source, publication, or competition experience.
Senior Product Manager — Embedded AI and Next-Gen...
At NVIDIA, we are harnessing the boundless possibilities of AI to build the next generation of computing. We are turning the GPU into the living brain of computers, autonomous machines, and driverless vehicles that truly perceive and grasp the world! Achieving what has never been accomplished requires bold vision, relentless creativity, and top-tier global expertise. At NVIDIA, you will dive into a high-energy, diverse, and encouraging environment that motivates everyone to perform at their life's best work. We are looking for a visionary, upbeat lead product strategist to reshape the future of client computing for advanced workflows in the booming Embedded market. You will own a brand new portfolio of discrete GPU and long-life board technologies. These power AI, virtual reality, visualization, photorealistic rendering, and more. You will also manage the marquee client connections and lifecycle programs that make NVIDIA the platform of choice for builds that must ship for a decade. If you want to work with brilliant minds and build a lasting legacy on the global tech landscape, welcome home! What you'll be doing: Own the Customers: Serve as the trusted point of contact for a portfolio of marquee accounts — including leaders in aerospace, robotics, autonomy, healthcare, and gaming — building executive-level 1:1 relationships and turning that trust into expanded, committed business. Grow the Business: Drive new design wins and expand adoption into adjacent use cases, converting evaluations into multi-year, multi-thousand-unit volume. Own the Long-Life Franchise: Run NVIDIA's long-life board program end-to-end — negotiating and administering paid long-life support agreements, managing last-time-buy (LTB) planning, reserved-inventory commitments, and end-of-life (EOL) transitions that guarantee supply for up to a decade, and pricing the premium lifecycle support customers depend on and pay for. Partner with Sales, Finance, and Operations to build commercial terms. These include custom ASPs, volume price reductions, and extended supply agreements. The goal is to win business while protecting margin. Build the Future: Collect raw feedback from global clients and collaborators. Use this input to compose next-generation products and set priorities for the engineering roadmap, such as ARM support, power-saving features, and custom memory configurations. Crush the Competition: Analyze the competitive landscape — dissecting features, benchmarking performance, and improving the value proposition of the embedded portfolio. Lead the Charge: Orchestrate high-impact collaborations across Engineering, Operations, Sales, Campaign teams, and ODM/AIB partners (PC Partner, Advantech, PNY, ADLink) to drive massive New Product Introductions (NPI). Own the Lifecycle: Run the entire product lifecycle from initial concept to launch, scale, long-life support, and strategic transition. Bridge the Gap: Act as the ultimate translator, turning deep technical GPU milestones into high-value business wins for senior executives and partners. What we need to see: The Foundation: BS/MS in engineering (or equivalent experience). The Track Record: Over 12 years of experience leading advanced hardware and software platforms. Proven ability to manage customer relationships and increase revenue and account growth. The Approach: An MBA or equivalent experience that blends sharp technical depth with strong business insight — comfortable structuring pricing, discounts, and multi-year supply commitments. The Long View: Experience with product lifecycle management — EOL, last-time-buys, long-life supply planning, and inventory/BOM management — is a significant advantage. The Execution: Strong analytical and project management skills to solidify rock-solid recommendations for senior management. The Drive: A self-starter attitude with the ability to multi-task, prioritize, and thrive inside a fast-paced environment. The Voice: Exceptional communication and presentation skills, plus a readiness to travel (minimum 25%) to meet customers and partners where they are. Ways to stand out from the crowd: You have a proven history of launching technical products and managing them through their full lifecycle — including long-life and supply-assurance programs. Has a history of being the person a fast paced, sophisticated customer calls first — and you've turned that relationship into new revenue. Exhibits deep, authentic curiosity about the AI landscape and love tearing down rival products to find the winning edge. Possess an intimate understanding of how developers and customers use GPUs to create, design, and explore in the Embedded space. Exhibits a solid grasp of artificial intelligence, machine learning, and deep learning techniques to revolutionize customer workflows. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Senior DL Compiler Engineer -CUDA Tile
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community. What you'll be doing: In this role, you will be working on CUDA Tile, a new tile-based programming model for our GPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA (https://developer.nvidia.com/cuda/tile). You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience) 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design. Ability to work independently, define project goals and scope, and lead your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience. Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning
Senior DL Compiler Engineer - CUDA Tile LPU
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community. What you'll be doing: In this role, you will be working on supporting CUDA Tile, a new tile-based programming model, for NVIDIA LPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA ( https://developer.nvidia.com/cuda/tile ). You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU and LPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience) 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design. Ability to work independently, define project goals and scope, and lead your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience. Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning
Senior Compiler Engineer Infrastructure
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on aligning NVIDIA’s compiler codebases with open-source ecosystems and improving developer productivity at scale. This role sits at the intersection of open-source compiler development, internal compiler infrastructure, and developer experience. You will play a central role in reconciling downstream compiler repositories with upstream open-source projects such as LLVM, Clang, and MLIR, while building the tooling, workflows, and infrastructure that enable compiler engineers across NVIDIA to move faster and with higher confidence. Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you will help ensure that NVIDIA continues to lead in scalable, maintainable, and community‑driven compiler technology. If you are passionate about open-source stewardship, large-scale codebase alignment, and using modern tooling (including AI-assisted workflows) to improve developer velocity, we would love to hear from you. What you will be doing: Reconcile and synchronize downstream compiler codebases with open-source repositories, including restructuring, refactoring, and upstreaming internal changes where appropriate Lead efforts to restructure, merge, or retire internal code to reduce divergence from upstream open-source projects Design and build infrastructure, tooling, and developer workflows that improve productivity, correctness, and maintainability for internal compiler engineers Develop automation and developer tools to aid in rebasing, patch management, validation, and large-scale refactoring Explore and apply AI-assisted tools to improve developer workflows, including code navigation, change analysis, refactoring assistance, testing, and review efficiency Partner with compiler developers, architecture teams, and CI/test infrastructure teams to ensure changes scale across geographically distributed organizations Serve as a technical bridge between internal compiler development and open-source ecosystems, helping shape long-term alignment strategies What we need to see: B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent experience) Experience with open-source compiler frameworks Excellent hands-on C++ programming skills 3+ years experience working with large-scale, long-lived codebases, including refactoring and restructuring efforts Solid understanding of compiler internals, including IRs, passes, build systems, and toolchains Familiarity with source-control–heavy workflows (e.g., downstream vs. upstream repos, patch queues, rebasing strategies) Strong software engineering fundamentals with an emphasis on robust, maintainable developer infrastructure Good communication and documentation skills; ability to collaborate across teams and time zones Ways to stand out from the crowd: Direct experience reconciling or maintaining downstream forks of open-source projects Experience building developer productivity tools, CI infrastructure, or large-scale automation Practical experience applying AI or ML-based tools to improve engineering workflows Background in GPU programming, CUDA, or parallel programming models Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Deep Learning Compiler Engineer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are hiring software engineers for the Tensor IR & CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image classification and other areas. Come join us to work with a top-notch team and have broad impact across the entire deep learning community. What you'll be doing: In this role, you will work on CUDA Tile and TensorIR compiler technologies for NVIDIA GPUs. CUDA Tile is a new tile-based programming model that shipped with CUDA 13.1, and TensorIR is an open-source compiler infrastructure project that uses CUDA Tile to generate high-performance GPU kernels. You will design and implement compiler transformations, develop MLIR-based dialects and lowering passes, and optimize the performance of tile-based kernels to ensure they execute efficiently across multiple generations of NVIDIA GPU architectures. The scope of these efforts includes defining public APIs, crafting and implementing compiler and optimization techniques, performance optimization, and other general software engineering work. What we need to see: Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering or a related field (or equivalent experience) 3+ years of relevant work or research experience in compiler optimization, performance analysis and IR design. Ability to work independently, define project goals and scope, and lead your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. Ways to stand out from the crowd: Knowledge of CPU and/or GPU architecture. CUDA or OpenCL programming experience. Experience with the following technologies: MLIR, LLVM, XLA, TVM and deep learning models and algorithms. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning
Lead Machine Learning Engineer, Generative AI (Ima...
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services. We’re looking for a Lead Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap! As the team’s hands-on technical lead, you’ll set direction, build alongside engineers, and turn advances in generative AI into creative experiences for millions of Snapchatters. What you’ll do: Lead the development of ML-powered products and AI Lenses, focusing on image and video generation and editing, as well as LLM-powered experiences Define the team’s technical roadmap and architecture for GenAI pipelines, including diffusion and flow matching models. Balance visual quality, latency, reliability, and cost Drive complex projects from prototype to production. Turn ambiguous ideas into clear technical plans, guide execution, and stay hands-on to ship initial consumer-facing experiences within weeks Partner with Product, Software Engineering, Lens Content, and Data Science to shape ideas, align priorities, and improve experiences through A/B testing and user feedback Turn emerging research into practical improvements. Evaluate open-source models and third-party APIs, establish quality benchmarks, and lead build-versus-buy decisions Mentor and unblock engineers through hands-on collaboration, technical design, and code reviews. Build reusable capabilities that help the team deliver better products, faster Knowledge, Skills & Abilities: A passion for machine learning, with the curiosity to explore new research and the judgment to know what is worth building Deep understanding of mathematics, deep learning, and generative modeling Ability to set technical direction and lead complex initiatives through ambiguity Excellent communication skills, with the ability to explain trade-offs, align partners, and help other engineers grow Strong product judgment and meticulous attention to visual quality Minimum Qualifications: Strong background in Machine Learning, with experience developing generative models, computer vision systems, or related deep learning applications Strong programming skills in Python or C++, with proficiency in PyTorch or a comparable deep learning framework Bachelor’s degree in computer science, mathematics, statistics, or a related technical field, or equivalent practical experience At least 5 years of ML experience after a bachelor’s degree, 4 years after a relevant master’s degree, or 1 year after a relevant PhD Demonstrated experience leading complex ML projects into production, including architecture decisions, guiding other engineers, and cross-functional delivery Preferred Qualifications: 7+ years of experience developing and deploying machine learning systems, with a track record of hands-on technical leadership Experience shipping consumer-facing products for image or video generation and editing Hands-on experience with diffusion or flow matching models, including fine-tuning, conditioning, or inference optimization Experience evaluating visual quality, prompt adherence, identity preservation, or temporal consistency Knowledge of computer graphics, augmented reality, or multimodal models for creative applications A track record of translating research into successful GenAI products If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information . "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Senior Software Engineer (Machine Learning) - Econ...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Economy ML team is building the machine learning backbone for Roblox’s virtual economy - from intelligent pricing and personalized storefronts to dynamic layout optimization and avatar content understanding. We partner closely with Marketplace, Payments, and Developer Monetization to deliver ML systems that drive long‑term value across engagement, retention, and creator earnings. As a Senior ML Software Engineer on the team, you will build the infrastructure and backend services that train, serve, and integrate the models powering ranking, personalization, and pricing across Roblox’s economic surfaces, including Marketplace, Developer Monetization, and Payments. Your work determines how quickly we can take new models from idea to production, and how well they perform once they are serving millions of users. You Will - Build and operate the training infrastructure behind Economy ML’s ranking, recommendation, and pricing models: distributed training jobs, efficient data loading, and reproducible pipelines from raw data to trained model. - Co-design models and systems with ML engineers: profile and optimize training and inference for our ranking and recommendation models, improving GPU utilization, memory, throughput, and latency (e.g., moving models to GPU serving, request batching, mixed precision, faster request-time feature processing). - Design and build the backend services and APIs that bring model predictions into Marketplace, Payments, and Developer Monetization, with clear latency budgets and graceful fallbacks. - Build and scale the batch and real-time data and feature pipelines that feed training and serving, with a focus on freshness, correctness, and training/serving consistency. - Own the path from trained model to production serving: packaging, deployment, versioning, shadow and canary rollouts, and integration with A/B experiments on Roblox’s ML platform. - Make the systems you own reliable and observable, and set the team’s best practices for logging, monitoring, alerting, and on-call across ML services. - Partner with Roblox’s central ML platform and data infrastructure teams, and with Marketplace / Economy backend teams, to adopt shared infrastructure and contribute improvements back to it. - Contribute to the technical direction of the Economy ML team: help shape our training and serving stack, infrastructure roadmap, and the tradeoffs between model quality, latency, and cost. - Mentor other engineers through design reviews, code reviews, and hands-on guidance, helping raise the technical bar of the broader Economy organization. You Have - 5+ years of software engineering experience, including 2+ years building and operating ML infrastructure or ML-backed production services at high scale. Experience with recommendation, search, or ads systems is a strong plus. - Solid engineering fundamentals in Python and at least one other backend language, with a track record of designing and operating distributed, low-latency services. - Hands-on experience training and serving deep learning models in production with PyTorch, including scaling training across GPUs and nodes and deploying models on GPU inference servers. Comfortable profiling and optimizing for utilization, memory, latency, and cost. - Experience building batch and streaming data pipelines and feature stores (e.g., Spark, Flink, Kafka), with attention to data quality and training/serving skew. - You build systems that are easy to debug and operate, and you take ownership of production health, from monitoring and alerting to incident response. - You enjoy working closely with ML engineers, platform teams, product managers, and data scientists across Marketplace, Payments, and Developer Monetization, and you can drive alignment in complex, multi‑stakeholder environments. - You understand how infrastructure choices (latency, freshness, cost) affect model quality and product metrics, and you prioritize work by its impact on users, creators, and the business. - BS, MS, or Ph.D. in Computer Science, Engineering, or a related technical field, or equivalent practical experience. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $243,290 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Senior Software Engineer - AI System
NVIDIA has been transforming computer graphics, animation, gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by phenomenal technology - and amazing people. We are seeking an experienced software engineer to help build NVIDIA AI for Media SDKs, a GPU-accelerated platform delivering AI-powered video, audio, and augmented reality capabilities for developers building media, content creation, and broadcast workflows. You will develop and optimize AI software across cloud and embedded platforms while advancing the build, validation, and delivery infrastructure behind our SDKs. This role combines strong C++ systems engineering, linux expertise, accelerated inference, and software delivery automation. You will collaborate with algorithm, platform, infrastructure, and QA teams to deliver efficient, reliable software on NVIDIA hardware. What You’ll Be Doing: Build efficient, low-latency software for AI media workloads across cloud and embedded platforms. Optimize and deploy AI models and software stacks on embedded processors and NVIDIA GPU platforms. Profile AI workloads to improve performance, power, and memory usage. Develop and maintain cross-platform CI/CD, packaging, and test systems. Collaborate across NVIDIA to bring the new hardware capabilities and platform software to AI media applications. Drive projects from design through validated release, with clear milestones, documentation, and reliable handoffs. What We Need To See: Strong C++ and CUDA programming, system design, debugging, and software engineering skills. Strong Linux development expertise, including toolchains, dependency management, scripting, and troubleshooting. BS or MS degree, or equivalent experience, with 8+ years of relevant systems software development experience. Experience with CI/CD systems such as Jenkins or GitLab CI, including automated build, test, and packaging workflows. Experience with Docker-based development and build environments. Strong background in computer vision/graphics, and linear algebra Ability to work independently, define project scopes, communicate risks, and drive work through completion. Experience shipping production SDKs and developer libraries Proficiency in AI-driven development best practices and agentic engineering workflows. Ways To Stand Out From The Crowd: TensorRT inference integration or optimization experience. Experience building and deploying software or AI models on embedded platforms, particularly ARM-based systems. Experience optimizing deep learning system performance, including latency analysis, profiling, and tuning of AI workloads. Expertise in image/video processing in GPU-accelerated media applications Proficiency with Python and shell scripting for development and infrastructure automation. At NVIDIA, you will work with engineers and researchers across disciplines to bring AI capabilities into production applications. If you enjoy solving challenging systems problems, improving developer workflows, and delivering accelerated software, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Research Scientist, AI for Graphics and Gaming - N...
We are now seeking a Research Scientist in Generative AI for Graphics and Gaming! NVIDIA is seeking world-class deep learning researchers to build the next generation of AI for graphics and gaming—from neural rendering and real-time image/video generation to world models, AI-driven characters, and LLM-powered game experiences. Join our Applied Deep Learning Research team, renowned for revolutionizing real-time graphics with powerful AI technologies like DLSS. You’ll have access to abundant GPU compute to explore ambitious ideas and train large models at scale. We prioritize step-change research that delivers undeniable user experience improvements, not incremental benchmark gains. You’ll work across multiple organizations at NVIDIA to drive fundamental AI research all the way into shipping products used by millions of players. Our team pushes the limits of real-time graphics and interactive storytelling experiences using the latest advances in AI. If you’re passionate about deep learning, real-time graphics, and delivering transformative technology directly into games and graphics applications, you’ll be a great fit. In this role, you will conduct cutting-edge research, train advanced models, prototype in real-time engines, and work with product, driver, and hardware teams to bring your ideas to market. What you'll be doing: Research and develop AI models that improve real-time graphics quality, robustness, performance, and latency, and enable new interactive experiences such as world models, LLM-driven gameplay, and AI-driven characters. Design and run large-scale pre-training and post-training for foundation models for graphics and gaming, using NVIDIA’s GPU infrastructure for experimentation and iteration. Build and own data pipelines and datasets for foundation models and large-scale training, spanning synthetic data, in-engine captures, and real-world content. Develop and prototype models for real-time image, video, and 3D content generation in modern game engines and graphics frameworks, and create demos that clearly showcase player-visible benefits. Stay current on AI and graphics research and work with product, driver, hardware, engine, and platform teams to turn promising ideas into shipping, user-visible features. What we need to see: Pursuing PhD in Computer Science/Engineering, Electrical Engineering, Applied Mathematics, or a related field (or equivalent experience). Deep learning experience in image/video generation, graphics, computer vision, or related fields, with a solid understanding of core DL fundamentals. Hands-on experience training large models on multi-GPU clusters (hundreds to thousands of GPUs), building robust distributed training pipelines and debugging at scale, with strong proficiency in PyTorch required; familiarity with GPU architecture, CUDA abstractions, and efficiency techniques (e.g., distillation, pruning, low-precision training/inference) is a plus. Background in graphics—such as rendering pipelines or game engines—and experience with generative models, neural rendering, or reconstruction is a plus. Proven track record of impactful research and shipped ideas (e.g., leading publications, production features, or widely used tools), and strong communication and collaboration skills in cross-functional teams. NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. Do you love the challenge of pushing what's possible in realtime interactive graphics and Generative AI? If so, we want to hear from you! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 264,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Principal Applied Research Engineer, Content Authe...
NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years. In the AI era, it’s a unique legacy of innovation that’s fueled by great technology and amazing people. NVIDIA AI for Media is a developer platform for creating and deploying AI features for media and entertainment workflows (https://developer.nvidia.com/topics/ai/generative-ai/ai-for-media). NVIDIA AI for M edia (AI4M) provides state-of-the-art AI models for video/audio enhancement and augmented reality features. Built on the NVIDIA AI platform, AI for Media enables developers to deliver studio ‑ quality audio and high ‑ resolution video enhancement and effects for live and post-production workflows—from local to cloud. We are now looking for outstanding engineers to join the NVIDIA AI for Media team. You will work alongside brilliant engineers on core technologies to solve ambitious computer vision and deep learning problems, especially building and optimizing real-time AI solutions that could run anywhere on cloud or premise. What You'll Be Doing: Set the technical direction for content authenticity AI at NVIDIA — architecting the model and pipeline strategy for detecting synthetic and manipulated media, and making the build-vs-adapt calls that shape multi-year investment. Design and build highly capable, efficient AI models for computer vision and video AI across synthetic content detection, AI manipulation identification, and semantic plausibility analysis. Extend authenticity coverage across modalities, including audio authentication analysis and more. Architect new end-to-end forensics pipelines, from data strategy and evaluation methodology through deployment — establishing the benchmarks and failure-mode analysis the team measures itself against. Own the accuracy/latency/throughput tradeoff space, taking models from research prototype to real-time production performance on NVIDIA hardware. Partner deeply with NVIDIA Research to bring state-of-the-art work into production, and with AI4M product teams to shape roadmap based on what's technically achievable and where the field is heading. Act as the technical authority on media authenticity for the broader org — mentoring engineers, reviewing designs, and representing NVIDIA's work externally where appropriate. What We Need To See: 15+ years of relevant engineering or research experience in deep learning and computer vision, with a track record of setting technical direction for a research area across multiple teams or projects. Demonstrated ownership of a system or model family from research concept through production deployment at scale. Hands-on development skills with deep learning frameworks and deployment stacks such as PyTorch/TensorFlow/ONNX, TensorRT/Triton/WinML, and other neural processing SDKs. Ability to scope ambiguous problems into executable roadmaps, define milestones, and lead development independently. Experience influencing product and research roadmaps through technical vision rather than positional authority. Strong collaboration and communication skills, with comfort operating in an R&D environment where requirements evolve. PhD in Computer Science, Electrical Engineering, or related field (or equivalent experience). Ways to Stand Out From the Crowd: Research or engineering background in digital forensics, media provenance, or content authenticity. Publications, patents, or recognized contributions in synthetic media detection or related areas. Experience developing synthetic video detection models in adversarial settings where generation methods shift faster than detection. Familiarity with authenticity standards and industry efforts such as C2PA, or participation in standards bodies and benchmark initiatives. Experience building evaluation frameworks and datasets for problems where ground truth is expensive or contested. NVIDIA is widely considered to be one of the technology world’s most desirable employers. As a part of NVIDIA, we have the opportunity to influence the future with your vision and expertise. Are you creative? We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
PhD Researcher Intern, World Foundation Models
NVIDIA is seeking PhD research intern to advance world foundation models within NVIDIA Cosmos for Physical AI. Our research explores new model architectures, training objectives, and efficient training and inference for multimodal generation and action-conditioned prediction. We are particularly interested in physical plausibility, spatial and temporal consistency, and the modeling of human appearance, motion, and interactions with objects and environments. You will work with NVIDIA researchers and engineers to define and pursue a focused research project, develop new methods, and demonstrate measurable improvements through rigorous experimentation. Projects will reflect team priorities and your research strengths. We welcome candidates with relevant research experience in generative modeling, computer vision, multimodal learning, computer graphics, or robotics. What you'll be doing: Research and develop model architectures, training objectives, and learning algorithms for video generation and world modeling, including diffusion or flow-matching approaches, multimodal conditioning, and spatial and temporal representations. Design controlled experiments and ablation studies, combining quantitative benchmarks with qualitative evaluation to diagnose model behavior, identify failure modes, and validate improvements. Explore training and inference efficiency through architectural changes, distillation, model compression, or other optimization techniques. Develop data curation and evaluation workflows, including model-assisted filtering, annotation, and quality assessment, and measure their impact on model performance. Throughout your project, you will collaborate with research and engineering teams and share findings through reproducible implementations, technical reports, and presentations. What we need to see: Currently pursuing a PhD in Computer Science, Computer Graphics, Computer Engineering, Robotics, or a closely related field. Research experience in one or more relevant areas, such as generative modeling, computer vision, video understanding or generation, multi-modal learning, 3D vision, or robotics. Strong proficiency in Python and PyTorch, demonstrated through research implementations or substantial projects. Hands-on experience implementing, training or fine-tuning, and evaluating deep learning models. Ability to formulate research questions, design rigorous experiments, analyze results, and communicate findings clearly. Comfortable working in Linux and using standard development practices for ML research, including version control, testing, and experiment reproducibility. Ways to stand out from the crowd: Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or related conferences, or substantial research projects demonstrating original technical contributions. Background with human appearance or motion modeling, human-object interactions, 3D generative models, 3D/4D representations, or neural rendering. Experience assessing physical plausibility, diagnosing visual and temporal artifacts, or developing evaluations using perceptual metrics, human feedback, or learned evaluators. Experience with distributed training, GPU performance profiling, efficient data loading, or model acceleration. Prior experience with NVIDIA Cosmos is welcome but not required. Join us to help build the next generation of world models for Physical AI! NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Staff Software Engineer
The opportunity Three billion people a month play something built in Unity. We're the team changing how those things get made — building AI that generates assets, writes and repairs code, and turns an idea into something playable faster than has ever been possible. Our group owns the backend and operations behind all of it: the cloud infrastructure our AI products run on, the data and experimentation platforms that tell us what works, the evaluation systems that tell us whether the AI is actually any good, and the operations that keep everything running across regions and customers. We're looking for a Staff Software Engineer who is genuinely AI-native — for whom agents and AI tooling are how the work gets done rather than a productivity add-on — and who sets direction rather than waiting for it. We've built the foundations over the past few months — CI/CD, infrastructure-as-code, deployment standards — and they work. The platform is stable, and we intend to keep it that way. What we have not solved is how much of understanding it still depends on people: when a metric moves, someone works out what it means; when something degrades, a human reads dashboards and makes the call; when a model changes, we find out more slowly than we should. None of that scales with the speed we're now shipping at, and none of it needs to stay manual. What makes this a Staff role rather than a senior one is that several of these problems do not yet have a defined shape, and we are asking you to give them one. We have more open directions than we can pursue. Deciding which ones are worth the team's time, convincing people you are right, and then building the thing — that is the job. What you'll be doing Own how this team builds software with AI. We use AI across our workflow today and we're not satisfied with how far it goes. You'll set the standard — agentic code review and repair, generated tests that stay honest as requirements change, the tooling and patterns the team adopts because they make the work faster. Not just working this way yourself, but moving the floor for everyone, and having the judgment to tell a tool that earns its place from one that doesn't. Define what we measure, and rebuild observability so it explains itself. Our telemetry has gaps, and much of what we collect is ambiguous, unlabelled, or only meaningful to whoever built it. You'll own the model of system health and business outcomes across our platform, make each metric self-explanatory, and replace manual review and manual reaction with automated interpretation. Make diagnosis agentic, and decide how far that should go. Build the troubleshooting layer that correlates signals, proposes root causes, and takes safe automated action — so that understanding a production issue doesn't start with a person reading graphs. Where the automation stops and a human stays in the loop is a judgment call with real blast radius, and it's yours to make. Own the infrastructure side of evaluation, as the technical counterpart to our Quality Engineering Lead. Our products generate code, find and fix bugs, and produce art and design — output with no single correct answer. We have the beginnings of an evaluation system and it isn't mature yet. You'll make evaluation fast, repeatable and cheap enough to run continuously, working as the engineering peer of the lead who owns the methodology. Decide what AI does for gaming LiveOps. Live games are managed continuously after launch: events and content, player behaviour and retention analysis, monetization, live health. We think Unity's data puts us in an unusual position to make that faster, smarter and far less manual. We are early here and genuinely do not know yet what it becomes. We're not asking you to execute a plan — we're asking you to form one, defend it, and know when to abandon it. Make agentic systems affordable. As more of our product and our own workflow runs on inference, the economics become an engineering problem — token efficiency, routing work to the cheapest model that can do it, managing what an agent has to keep in context, and recovering agent state so a failed run resumes instead of starting over. You'll own how we measure and optimize all of it, and set the budgets the rest of us build within. Set technical direction for Unity AI's backend platforms. Make the architectural calls that are expensive to reverse, run technical spikes with developers on Microsoft Azure and Google Cloud, and partner with product, design and other engineering teams to shape the roadmap rather than receive it. Raise the engineers around you. Design review, code review, mentoring, and the kind of technical argument that leaves the other person better at their job. We measure Staff impact partly by what the people near you are able to do a year from now. What we're looking for Hands-on, current use of AI and agent tooling in your own engineering work. Genuine daily practice, not familiarity with the concepts — and ideally experience pointing agents at problems beyond code generation. Expect to talk about what you have actually built A track record of setting technical direction that other people followed — choosing what to build and what not to, making the case, and owning the outcome when it was expensive to be wrong A track record of working on problems that weren't defined when you started — framing them, moving quickly to something real, and knowing when to change course Experience building and shipping complex, user-facing software products at scale Depth in observability — monitoring, logging, alerting and debugging with tools such as Grafana — and a point of view on making telemetry interpretable rather than merely present An automation instinct in operational work — you have replaced a manual judgment step in production with a system that makes it for you, or cut the human effort in a detection-to-resolution loop Hands-on experience with Microsoft Azure or Google Cloud Platform Backend service development, including API design, and comfort working in an established CI/CD and infrastructure-as-code environment Evidence of multiplying other engineers — mentoring, design review, or standards that outlived your involvement Ability to translate business and user needs into technical solutions Strong communication and interpersonal skills, with a proven ability to align stakeholders across disciplines and organizations We would rather hire someone exceptional in a few of these areas than adequate across all of them. You might also have This is a broad charter, and we don't expect anyone to arrive with all of it. If you're strong across most of the above and curious about the rest, we'd like to talk. Experience building evaluation infrastructure for AI systems — benchmark harnesses, LLM-as-judge pipelines, or measuring model output quality at scale Experience with the economics of agentic systems — inference and token cost, model routing, context and memory management, or checkpointing and state recovery for long-running agent work Background in games, live-service operations, or player analytics Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $244,500 - $317,800 Zone B: $217,500 - $282,700 Zone C: $192,600 - $250,300 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Staff Product Manager, Vector
The opportunity We are looking for a Staff Product Manager to join our Vector applied research team and shape the evolution of our User Acquisition products. In this high-scale, low-latency environment, we process billions of requests daily to deliver fast, relevant ads to players worldwide. In this role, you will lead product strategy and execution for campaign management and optimization within Unity Ads’ User Acquisition platform. You will work with advertisers to understand their goals and challenges, translate those insights into a product roadmap, and partner with applied scientists, engineering, design, and go-to-market teams to deliver impactful solutions. You will define success metrics, use data and experimentation to evaluate results, and guide ongoing product improvements. You will also explore agentic solutions to simplify advertiser workflows and decision-making. What you’ll be doing Transform business requirements into actionable machine learning solutions, ensuring alignment with measurable objectives and user needs. Build and maintain product roadmaps for User Acquisition initiatives, prioritizing features and improvements that deliver the greatest value. Collaborate with multi-functional teams to implement and refine machine learning models, ensuring seamless user integration and technical robustness. Lead innovation by conceptualizing, defining, and launching new ML features while staying informed on the latest industry advancements. Analyze and track important metrics to evaluate product performance and guide iterative improvement. What we’re looking for 6+ years of product management experience, including 3+ years leading technical or ML-driven products. Strong experience working in mobile advertising, particularly User Acquisition. Experience shaping product strategy and aligning teams around business and user priorities. Ability to leverage data-driven decision-making, including cohort analysis, to assess machine learning product and algorithm performance. Strong understanding of machine learning concepts, algorithms, and data analysis, with the ability to bridge the gap between technical teams and product goals. Demonstrated ability to work with large-scale data sets and deploy ML models in production environments. Skilled in critical thinking and problem-solving with a focus on delivering user-first solutions. You might also have Background in gaming-focused advertising. A passion for working with teammates to champion bold ideas and deliver impactful results that resonate with users. Additional Details: Zone A: $200,400 - $260,500 Zone B: $178,300 - $231,800 Zone C: $157,800 - $205,200 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Staff Applied Scientist, Ads Personalization
The opportunity At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem. Our Gamer AI team plays a central role in this effort by developing state-of-the-art conversion rate (CVR) prediction and market price models that power our ad ranking and recommendation systems. By leveraging large-scale data and contextual signals, we continuously enhance prediction relevance and accuracy. This drives outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend, helping advertisers achieve their goals while delivering a more engaging experience for users. We are seeking a highly skilled Staff Applied Scientist to build and maintain advanced systems for understanding user behavior across applications. You will be responsible for improving ad ranking, conversion predictions, and recommendation systems, enabling richer behavioral models, smarter bidding strategies, and more effective ad performance. What you’ll be doing Design, implement, and maintain user understanding models. Ensure model quality and reliability by continuously monitoring performance, calibrating predictions, and addressing data drift or delayed feedback. Actively participate and work with other leads to set the long-term direction for the team, plan and oversee engineering designs and project execution. Effectively communicate complex technical concepts to non-engineering stakeholders. What we’re looking for Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Statistics, related field, or equivalent practical experience. 5+ years of hands-on experience building and operating large-scale Ads delivery and optimization systems. 3+ years of experience in content understanding, behavior modeling, user profiling, and cohort analysis. Significant experience in one or more general-purpose programming languages like Python, Go, Scala, C++ or similar. Knowledge of metric design, experimentation methodologies, and large-scale data analysis. You might also have Experience designing and productionizing optimization algorithms in an ad serving platform and/or other marketplaces. Experience with state-of-the-art control systems, reinforcement learning algorithms. Additional Information Gross pay annually: $172,200 - $283,900 USD This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Sr. Machine Learning Engineer
The opportunity Unity's ML Engineering Infrastructure team builds the platform that powers machine learning across the company, from feature generation and training data pipelines to distributed training, experimentation, and model serving. We're looking for a Machine Learning Engineer to help build the platform behind our product intelligence, production ML models, and the teams that develop them. Operating at scale across batch and streaming data, our systems power large-scale training, feature generation, and experimentation. You'll work across the full ML infrastructure stack, from data and feature pipelines to distributed training, orchestration, serving, and observability, going wherever the team needs you most. This role suits someone curious and eager to learn who picks up new tools quickly. Working closely with your manager and experienced engineers, you'll take on well-scoped projects and deliver them end-to-end using your own judgment, keeping both the day-to-day details and the broader direction of the platform in view. What you'll be doing Build and maintain data and feature pipelines that generate training datasets for machine learning models and experimentation Develop and improve infrastructure for distributed training workflows Build and operate multi-stage ML pipelines using workflow orchestration tools Contribute to model serving and deployment infrastructure, helping models move reliably from training into production Improve reproducibility and reliability across the stack through monitoring, alerting, dataset validation, and testing Take on projects scoped with your manager and carry them through end-to-end, from design to rollout, using your own judgment along the way Investigate uncommon or inconsistent issues across pipelines and training systems, recognize the patterns behind them, and turn them into concrete improvements Keep both the hands-on details and the bigger picture in mind, delivering on immediate needs while moving the platform in the right direction Partner with ML engineers, researchers, and peers across teams, and share progress and tradeoffs with managers and directors Pick up new tools and new parts of the stack as team priorities shift What we're looking for Experience building ML infrastructure, data platforms, or distributed systems in production Strong Python skills and experience working with data-intensive workloads Hands-on experience with ML frameworks (e.g., PyTorch) and distributed compute (e.g., Ray, Spark) Experience with data pipelines, model training workflows, or large datasets beyond academic settings Comfortable working across several layers of the ML stack, with a track record of learning new tools and systems quickly Ability to spot patterns in ambiguous or inconsistent problems and translate them into practical technical needs Clear communication and a collaborative approach with peers, managers, and partner teams Bachelor's degree in Computer Science, Machine Learning, Systems, or a related field, or equivalent practical experience Nice to Have Experience with Kubernetes and cloud infrastructure (GCP or AWS) Experience with observability tooling (e.g., Prometheus, Grafana) Experience with workflow orchestration systems (Airflow, Prefect, etc.) Experience with model serving frameworks (e.g., Triton, KServe, Ray Serve) Exposure to large-scale data platforms (data lakes, warehouses, streaming systems such as Kafka) Familiarity with feature stores or experimentation platforms Additional Information: Zone A: $178,700 - $232,300 Zone B: $159,100 - $206,800 Zone C: $140,700 - $182,900 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Machine Learning Engineer-Internship
The opportunity Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company. Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform enables large-scale model training, feature generation, and experimentation workflows that power production ML systems. We’re looking for a Machine Learning Engineer,Intern to join our Offline Infrastructure team. This is an ideal role for people who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You’ll help build and evolve the infrastructure that powers training data generation, ML workflows, and distributed model training. Working closely with experienced engineers and researchers, you’ll contribute to systems that ensure our ML pipelines are reliable, scalable, and efficient. This role offers the opportunity to bridge research and production—translating advanced ideas into systems that operate at scale. What you'll be doing Build and maintain data pipelines that generate training datasets for machine learning models and experimentation Contribute to infrastructure that supports distributed training workflows (e.g., PyTorch, Ray) Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML pipelines Improve reproducibility and reliability through dataset validation, monitoring, and testing Partner with ML engineers to support experimentation and model iteration Help optimize performance and efficiency across data processing and training systems Contribute to the evolution of our offline ML platform architecture as it scales What we're looking for Bachelor’s degree in Computer Science, Machine Learning, Systems, or a related field Strong foundation in machine learning systems, distributed systems, or large-scale data processing (through research or projects) Experience with Python and working with data-intensive workloads Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and/or distributed systems (e.g., Ray, Spark) Experience (academic or applied) with data pipelines, model training workflows, or large datasets Strong problem-solving skills and ability to translate research ideas into practical systems Interest in building scalable, reliable infrastructure for machine learning Nice to Have Experience with workflow orchestration systems (Airflow, Flyte, etc.) Exposure to large-scale data platforms (data lakes, warehouses, streaming systems) Publications or research in ML systems, distributed systems, or related areas Additional information Zone A: $117,000 - $152,000Zone B: $104,100 - $135,300Zone C: $92,000 - $119,600 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Director, Machine Learning (Applied AI Research)
The opportunity AI is changing how games are made and played, and Unity is building the intelligence behind that shift. Our Gaming AI organization turns applied research into products used by millions of creators around the world. We want you to join us as Director, Machine Learning, leading an applied AI research team in Singapore. You will turn groundbreaking research into models and systems that ship, build and grow a team of researchers and engineers, and help shape how Unity uses AI across its platform. If you are a forward thinker who loves to build, learn, and see research reach real users, this is your opportunity. What you'll be doing Lead and grow an applied AI research team of ML researchers and engineers in Singapore, including hiring, mentoring, and developing the team Set the technical direction and roadmap for your team's research, in partnership with Gaming AI leadership Move research from prototype to production, shipping models and systems that create real value for Unity products and creators Partner with product, engineering, and research teams across Unity's global AI organization to align research with business priorities Establish strong practices for experimentation, evaluation, and model quality Stay ahead of advances in machine learning and AI, and bring the most promising ideas into Unity's work Represent Unity's applied research internally and in the broader AI community What we're looking for Track record of leading applied ML or AI research teams, including managing researchers and engineers Experience taking ML models from research into production at scale Deep expertise in modern machine learning, including deep learning and large language or multimodal models Hands-on experience with ML frameworks such as PyTorch or JAX Experience setting technical strategy and roadmaps for a research or engineering team Effective written and verbal communication, including explaining complex technical work to non-technical leaders Experience working with distributed, multi-functional teams across time zones You might also have A PhD in Computer Science, Machine Learning, or a related field Publications at top venues such as NeurIPS, ICML, ICLR, or CVPR Experience applying AI to games, 3D content, or creative tools Base Salary Range: SGD 291,500 - SGD 437,300 Gross This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Staff Software Engineer, Gaming AI
L’opportunité Unity construit la plateforme de création de jeux de nouvelle génération, changeant la manière dont les jeux seront construits au cours des cinq prochaines années. Rejoignez-nous et aidez à créer un produit qui permettra aux développeurs de jeux de donner vie à leurs idées d’une manière entièrement nouvelle. En tant qu’Ingénieur(e) logiciel Staff dans notre équipe IA pour le jeu vidéo, vous serez responsable de diriger la livraison des services cloud et des fonctionnalités qui alimentent cette plateforme. C’est un travail nouveau et stimulant, au centre de la direction IA de Unity. Ce que vous ferez Concevoir et livrer des services basés sur le cloud et des fonctionnalités cloud pour la plateforme de création de jeux de nouvelle génération Construire des fonctionnalités front-end dans le cadre de systèmes full-stack performants Optimiser les services cloud pour la scalabilité et la performance Appliquer les design patterns de services cloud et l’expérience en architecture aux applications cloud Utiliser des outils d’IA agentique (comme Claude Code) comme élément central de votre travail d’ingénierie quotidien Travail DevOps : pipelines CI/CD, monitoring, maintenance de bases de données Piloter la direction technique au sein de l’équipe et construire l’alignement avec la direction Collaborer avec les équipes IA, infrastructure et données Ce que nous recherchons Familier(ère) avec les services GCP, optionnellement familier(ère) avec Azure Familier(ère) avec K8s / KCL Fort intérêt pour le développement de jeux avec l’IA Expérience dans la livraison de services cloud évolutifs et de fonctionnalités basées sur le cloud Compréhension des design patterns de services cloud et expérience en architecture avec des applications cloud Expérience dans la conception de systèmes full-stack performants, incluant frontend / services cloud / devops Expertise dans l’utilisation d’outils de développement IA (comme Claude Code) dans votre travail quotidien, et un engagement à construire votre parcours de carrière avec ces outils Capacité à piloter la direction technique au sein d’une équipe et à s’aligner avec la direction sur la vision stratégique Vous pourriez aussi avoir Une expérience en développement de jeux, ou une passion pour le jeu vidéo Une connaissance de l’infrastructure cloud The opportunity Unity is building the next generation game creation platform, changing how games will be built over the next five years. Join us and help create a product that will enable game developers to bring their ideas to life in an entirely new way. As a Staff Software Engineer on our gaming AI team, you will be responsible for leading the delivery of cloud services and features that power this platform. This is new and challenging work at the center of Unity's AI direction. What you'll be doing Designing and delivering cloud-based services and cloud features for the next generation game creation platform Building front-end features as part of performant full-stack systems Optimizing cloud services for scalability and performance Applying cloud service design patterns and architecture experience to cloud applications Using agentic AI tools (such as Claude Code) as a core part of your daily engineering work DevOps work: CI/CD pipelines, monitoring, database maintenance. Driving technical direction within the team and building alignment with leadership Collaborating with the AI, infrastructure, and data teams What we're looking for Familiar with GCP services, optionally familiar with Azure. Familiar with K8s / KCL Strong interest in game development with AI Experience delivering scalable cloud services and cloud-based features Understanding of cloud service design patterns and architecture experience with cloud applications Experience designing performant full-stack systems, including frontend / cloud services / devops Expertise in using AI developer tools (such as Claude Code) in your daily work, and a dedication to building your career path with these tools Ability to drive technical direction within a team and align with leadership on strategic vision You might also have Game development experience, or a passion for gaming Knowledge of cloud infrastructure Cette fourchette correspond au salaire de base prévu pour ce poste. En plus du salaire de base, ce poste peut donner droit à des attributions d’actions et à une participation à nos programmes d’incitation de l’entreprise, comme des primes annuelles discrétionnaires ou des commissions de vente. Le montant final de l’offre dépendra de plusieurs facteurs, notamment l’emplacement géographique ainsi que l’expérience pertinente, le parcours professionnel et les compétences du/de la candidat(e). This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Avantages Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle. Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi. Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons La vie chez Unity Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity. Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com . Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire. Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais. Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity. La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats . Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Senior Machine Learning Engineer, Ads
Opportunity Offerwall by Unity is a leading mobile advertising and monetization platform that empowers game developers to maximize revenue and engage users through rewarded experiences. For over a decade, we've connected millions of players with offers that provide tangible in-app value, and we're now building the next generation of that product. Rewarded advertising attracts fraud. Every conversion attempt on Offerwall and the Unity Rewards app is scored in real time by our fraud detection stack: a prediction service, an online feature store, streaming and batch feature pipelines, and a rules engine that decides what gets paid out. When fraud gets through, money leaks from our advertisers and our business. We're seeking a Machine Learning Engineer to own the ML side of Offerwall fraud prevention. You'll take our real-time anomaly detection and device risk models from development into production, build the labeled fraud dataset and evaluation methodology the team measures itself against, and modernize how we train, serve, and monitor models. You'll work closely with data engineering, backend, and product partners who own the systems your models plug into. This is a hands-on role with real scope. You'll be one of a small group of engineers responsible for fraud ML end to end, and you'll have a direct line from the models you ship to dollars saved. What you'll be doing Ship Fraud Models to Production: Take our real-time anomaly detection and device risk models from development to production, so their output drives payout and blocking decisions. Build the Ground Truth: Create and maintain a golden labeled fraud dataset, and define the evaluation methodology and baseline fraud-efficacy metrics the team uses to judge every model and rule change. Own Features End to End: Design and evolve the streaming and batch features that feed our Redis online feature store, partnering with data engineering on freshness, correctness, and lineage. Modernize ML Infrastructure: Plan and drive the evolution of our training and serving stack, including evaluating a move from SageMaker to Kubeflow and KServe, with attention to latency on the real-time scoring path. Detect New Fraud Patterns: Investigate fraud spikes, analyze user and device behavior, and turn findings into new detection signals, features, and models. Operate & Document: Monitor model and feature health in production, write runbooks and data lineage docs, and participate in on-call for the fraud detection stack. What we're looking for Production ML Experience: Several years building ML models and taking them all the way to production, including deployment, monitoring, and iteration after launch. Fraud, Risk, or Anomaly Detection: Hands-on experience with fraud detection, abuse prevention, risk scoring, or anomaly detection, including working with sparse, noisy, or adversarial labels. Real-time Serving & Feature Engineering: Experience with low-latency model serving and online/offline feature pipelines (for example Redis or another online feature store, Kafka or similar streaming, Airflow). Evaluation Rigor: Ability to build labeled datasets from imperfect signals and design evaluation methods that hold up when fraud patterns shift. Core Technologies: Strong Python and SQL. Working knowledge of a cloud ML platform such as AWS SageMaker, Kubeflow, or KServe. Ownership & Collaboration: You take ambiguous problems to shipped outcomes with limited oversight, write things down, and work well with backend, data, and product partners. You use AI coding tools to move faster. You might also have Experience with ad fraud, install/attribution fraud, or fraud in rewarded or incentivized advertising. Experience with unsupervised or semi-supervised detection methods such as autoencoders, isolation forests, or graph-based approaches to device and user linking. Experience migrating ML serving between platforms, or building MLOps tooling on Kubernetes. Background in mobile ad tech, mobile games, or app monetization. Additional Details Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $178,700 - $232,300 Zone B: $159,100 - $206,800 Zone C: $140,700 - $182,900 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Senior Backend Engineer, Vector AI
The opportunity Every day, we connect billions of players with the games and experiences they love. Our Vector Gamer AI team sits at the heart of that mission, governing ad ranking and bidding decisions across billions of daily impressions, where large-scale machine learning and real-world impact converge at scale. We're hiring a Senior Backend Engineer to build and operate the infrastructure those models depend on. You'll design and operate the distributed systems that power billions of daily decisions, with a focus on the performance, reliability, and scalability of inference systems. Join us and help influence how billions of gaming experiences are discovered, monetized, and how creators are rewarded. What you’ll be doing Design, develop, and deploy production-grade backend services and distributed systems powering large-scale online model inference at billions of daily requests Drive technical direction of our inference platform, with a focus on low-latency, high-throughput serving infrastructure Partner with ML engineers to ensure online serving infrastructure scales with growing model complexity and inference volumes, without compromising latency or throughput Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana. Manage and optimize cloud infrastructure on GCP, orchestrating workloads with Kubernetes across a high-scale production environment Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE). What we’re looking for Experience designing, deploying, and maintaining distributed systems at scale Expertise in Golang for building high-performance, low-latency backend infrastructure Hands-on experience with cloud infrastructure on GCP and workload orchestration with Kubernetes Strong grounding in monitoring and observability tooling, including Prometheus and Grafana Experience in ad tech, recommender systems, real-time personalization, or other performance-critical domains Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices Familiarity with machine learning platforms, workflows, and serving infrastructure You might also have Experience with ML inference servers like NVIDIA Triton Inference Server. Familiarity with auction mechanics or bidding systems in an ad tech context Additional information Gross pay annually: $165,600 - $273,400 USD This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Senior Machine Learning Engineer
’opportunité Chez Unity, nous façonnons l’avenir du développement 3D en temps réel en permettant aux créateurs d’exploiter des systèmes intelligents et autonomes. Notre IA agentique de nouvelle génération (orientée vers des objectifs, adaptative, et capable de raisonner et de planifier dans des environnements dynamiques) transforme la manière dont les jeux et les simulations prennent vie. Nous recherchons un(e) Ingénieur(e) Machine Learning Senior pour diriger le développement de ces systèmes d’IA fondamentaux au sein du moteur Unity, donnant aux créateurs les moyens de construire des agents en jeu et des simulations plus intelligents et plus réactifs. Votre travail stimulera directement l’innovation, permettant aux développeurs et aux designers d’intégrer de manière fluide des comportements d’IA sophistiqués dans leurs mondes. Ce poste est parfait pour quelqu’un de passionné par le fait de repousser les limites de l’IA, des systèmes multi-agents, de l’apprentissage par renforcement et de la prise de décision intelligente dans des environnements complexes et en temps réel. Ce que vous ferez Concevoir, implémenter et faire évoluer à grande échelle des systèmes d’agents IA dans des environnements Unity qui permettent un comportement orienté vers des objectifs, la planification et l’exécution de tâches, et une prise de décision tenant compte de l’environnement. Développer des frameworks agentiques réutilisables (tels que des modules de planification, des systèmes de mémoire ou des couches d’adaptation de politique) que les créateurs peuvent étendre dans leurs propres projets. Développer des modèles d’IA pour le système agentique Unity AI. Les modèles d’IA effectuent diverses tâches pour la création de jeux Unity. Intégrer de manière fluide des modèles de Machine Learning dans les contraintes d’un moteur de jeu en temps réel, en optimisant la latence, la puissance de calcul et le déterminisme. Diriger des initiatives à fort impact, incluant l’apprentissage par renforcement hiérarchique pour des comportements évolutifs, des frameworks de planification IA et d’inférence d’objectifs pour les PNJ et les simulations, ainsi que des systèmes de mémoire d’agent et de modélisation du monde pour un comportement persistant et crédible. Collaborer avec des équipes internes et externes pour débloquer des cas d’usage innovants dans le jeu vidéo, la simulation et la narration interactive. Contribuer à la vision à long terme et à la feuille de route des offres d’IA agentique de Unity, en garantissant la modularité, l’utilisabilité et la performance sur toutes les plateformes. Établir et promouvoir les bonnes pratiques en matière de qualité des modèles, d’évaluation basée sur la simulation et de sécurité ML/IA au sein des systèmes en temps réel. Encadrer des ingénieurs et des chercheurs tout en cultivant une culture technique d’innovation, d’excellence et de collaboration. Ce que nous recherchons Diplôme de niveau avancé (Master ou Doctorat) en informatique, Machine Learning, robotique ou dans un domaine connexe, ou expérience pratique équivalente. Plus de 5 ans d’expérience concrète dans le développement de systèmes de ML en production, idéalement dans des environnements en temps réel ou interactifs. Solide expérience dans un ou plusieurs des domaines suivants : apprentissage par renforcement, fine-tuning, prise de décision en situation d’incertitude, planification IA ou systèmes multi-agents. The opportunity At Unity, we’re shaping the future of real-time 3D development by enabling creators to harness intelligent, autonomous systems. Our next-generation agentic AI - goal-directed, adaptive, and capable of reasoning and planning in dynamic environments - is transforming how games and simulations come to life. We’re looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game agents and simulations. Your work will directly drive innovation, allowing developers and designers to integrate sophisticated AI behaviour seamlessly into their worlds. This role is perfect for someone passionate about pushing the boundaries of AI, multi-agent systems, reinforcement learning, and intelligent decision-making in complex, real-time environments. What you'll be doing * Design, implement, and scale AI agent systems in Unity environments that enable goal-directed behaviour, task planning and execution, and environment-aware decision-making. * Develop reusable agentic frameworks - such as planning modules, memory systems or policy adaptation layers - that creators can extend in their own projects. * Develop AI models for the Unity AI agentic system. The AI models perform various tasks for building Unity games. * Integrate Machine Learning models seamlessly within real-time game engine constraints, optimizing for latency, compute, and determinism. * Lead high-impact initiatives, including hierarchical reinforcement learning for scalable behaviours, AI planning and goal inference frameworks for NPCs and simulations, and agent memory and world modelling systems for persistent, believable behaviour. * Collaborate across internal and external teams to unlock innovative use cases in gaming, simulation, and interactive storytelling. * Contribute to the long-term vision and roadmap for Unity’s agentic AI offerings, ensuring modularity, usability, and performance across platforms. * Establish and champion best practices for model quality, simulation-based evaluation, and ML/AI safety within real-time systems. * Mentor engineers and researchers while cultivating a technical culture of innovation, excellence, and collaboration. What we're looking for * Advanced degree (MS or Ph.D.) in Computer Science, Machine Learning, Robotics, or a related field—or equivalent practical experience. * 5+ years of hands-on experience developing ML systems in production, ideally within real-time or interactive environments. * Strong background in one or more of the following: reinforcement learning, fine-tuning, decision-making under uncertainty, AI planning, or multi-agent systems. Cette fourchette correspond au salaire de base prévu pour ce poste. En plus du salaire de base, ce poste peut donner droit à des attributions d’actions et à une participation à nos programmes d’incitation de l’entreprise, comme des primes annuelles discrétionnaires ou des commissions de vente. Le montant final de l’offre dépendra de plusieurs facteurs, notamment l’emplacement géographique ainsi que l’expérience pertinente, le parcours professionnel et les compétences du/de la candidat(e). This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Avantages Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle. Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi. Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons La vie chez Unity Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity. Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com . Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire. Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais. Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity. La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats . Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
Research Intern, Spatial Intelligence - Summer 202...
NVIDIA is searching for an outstanding computer vision and deep learning intern researcher to join the spatial intelligence lab. We are passionate about research that pushes boundaries but also has impact in the real world! What you’ll be doing: Research, design and implement methods for one of the key research topics of the team: generative AI for videos, reconstruction, simulation, video understanding, policy learning, reinforcement learning, VLMs. Publish original research at the end of the internship. Collaborate with other team members and teams. Collaborate with external researchers. What we need to see: Must currently be at least a second-year Ph.D. student in, e.g., Computer Science/Engineering, Mathematics. Excellent knowledge of theory and practice of computer vision methods, as well as deep learning. Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) Knowledge of common machine learning frameworks, such as PyTorch. Outstanding research track record. Very good publication record in computer vision, with a minimum of 2 papers (1 as main author) published at top venues CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR. Excellent communications skills. Good knowledge of version control systems, e.g., git. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an AA/EEO/Veterans/Disabled employer. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD. You will also be eligible for Intern benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
Senior Manager, Developer Relations - Higher Educa...
NVIDIA is rapidly growing its presence across the research ecosystem, and we are seeking a visionary Developer Relations Senior Manager to lead our Higher Education and Research activities in the US. In this role, you will build and guide a high-performing team of Developer Relations Managers covering key scientific domains, partnering with leading academic labs and universities to accelerate discovery and adoption on NVIDIA platforms. You will operate at the intersection of frontier AI research, scientific computing, and community engagement, championing NVIDIA's accelerated computing stack across the full research lifecycle, from frameworks and libraries, to foundation model development to domain-specific scientific AI applications. What You'll Be Doing: Manage and mentor a team of Developer Relations Managers to cover AI for science (life sciences, physics, robotics, quantum, climate). Set direction, remove blockers, and build a high-trust, high-performance team. Architect a comprehensive researcher engagement strategy across academic labs, research consortia. Translate NVIDIA's platform roadmap into research-relevant opportunities and ensure NVIDIA remains the platform of choice for frontier research. Establish positive relationships with PIs, lab directors, research computing leads, and institutional decision-makers. Understand technical needs and institutional dynamics that shape research priorities. Champion NVIDIA's full research platform, from CUDA libraries to NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS etc. Helping researchers unlock platform value across both AI model development and scientific discovery workloads. Develop NVIDIA's presence at major AI and scientific research venues, such as NeurIPS, ICML, ICLR, SC, domain scientific conferences, and drive university engagements, workshops, and lab-facing programs. Collaborate across Research Account Managers, Solution Architects, Product, Engineering, and Business Development to align ecosystem strategy with global priorities. Translate researcher feedback into actionable product and program insights. What We Need to See: PhD in Computer Science, AI, Machine Learning, Computational Science, or a related technical field, or equivalent experience. 12+ overall years of industry and research experience, including 4+ years managing teams in developer relations, research engagement, or technical partnerships. Deep technical proficiency across both foundational AI (LLMs, training, post-training, inference) and AI for science (domain AI applications, scientific computing, simulation). Proven track record to engage senior research stakeholders with credibility and strategic intent. Strong track record of driving platform adoption through technical enablement, community programs, and cross-functional collaboration in a matrixed environment. Ways to Stand Out from the crowd: Research Credibility: Publications, open-source contributions, or direct experience working on leading AI systems or scientific solutions based on AI. Platform Depth : Hands-on experience with NVIDIA technologies including CUDA, TensorRT-LLM, Dynamo, NeMo, BioNeMo, PhysicsNeMo, Earth-2, Omniverse, RAPIDS, NIM, or GPU-accelerated computing systems. Research ecosystem network: Established relationships with leading academic labs, research consortia and major open-source research communities. Scientific Domain Expertise: Depth in one or more priority verticals, such as physics, bioscience, quantum computing etc, with the breadth to engage across domains. Matrix Navigator: Demonstrated ability to operate independently and drive outcomes across a complex, fast-paced global organization. NVIDIA is widely considered one of the technology world's most desirable employers. If you are a technically credible, highly autonomous leader who thrives at the frontier of AI and science, we want to hear from you! NVIDIA is committed to encouraging an inclusive work environment and proud to be an equal opportunity employer! Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD – 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Intern - Photonics Design Software & Automation En...
Overview Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more about what we do. At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture. Learn more about our benefits. Responsibilities Design, model, and analyze photonic devices, subsystems, and integrated photonic systems using RSoft and related photonic simulation tools Develop software and automation frameworks for photonic design, electromagnetic simulation, optimization, and design trade studies Design and prototype agentic or semi-autonomous workflows that orchestrate multi-step photonic simulation, optimization, and evaluation pipelines Integrate RSoft, CODE V, and LightTools through software APIs and custom workflow automation Develop cross-product workflows that connect photonics, optical system, and illumination analyses to support end-to-end engineering studies Support photonic device characterization, design exploration, and performance optimization across multiple simulation environments Develop and validate numerical algorithms for optimization, workflow integration, and engineering decision support Explore AI-assisted or rule-based approaches for photonic design iteration, design-space exploration, and workflow coordination Document workflows and deliver reusable, production-quality software tools Collaborate closely with application engineers, photonics experts, and software development teams Qualifications PhD candidate in Photonics, Optics, Optical Engineering, Electrical Engineering, Physics, or a related field Strong foundation in electromagnetics, wave optics, photonic devices, photonic integrated circuits (PICs), optical communications, and computational photonics Hands-on experience with photonics design and simulation tools such as RSoft, Lumerical, COMSOL, or similar platforms Advanced programming skills in C++/Rust and Python Experience building research-grade or production-quality software tools Interest in automation, workflow orchestration, and engineering productivity solutions Familiarity with agent-based, workflow-oriented, or multi-step automation frameworks Preferred / Differentiating Skills Experience designing photonic integrated circuits (PICs), optical communication systems, silicon photonics devices, waveguides, couplers, gratings, lasers, modulators, or related photonic technologies Experience with large-scale optimization problems involving photonic structures, inverse design, metasurfaces, or electromagnetic devices Knowledge of electromagnetic simulation methods including FDTD, BPM, RCWA, FEM, or similar techniques API-level integration with commercial photonics simulation tools Experience building software workflows that connect multiple engineering applications, including photonics, optical design, and system-level simulation environments Experience embedding optimization heuristics, decision logic, or AI-assisted capabilities into engineering workflows Familiarity with modern software development practices, including source control, code reviews, automated testing, continuous integration/continuous deployment (CI/CD), and collaborative development workflows Demonstrated ability to translate advanced photonics research concepts into usable engineering software solutions Careers Privacy Statement Keysight Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.
Product Manager, AI for Quantum
We're looking for a passionate product leader to drive NVIDIA’s AI for Quantum strategy and platform. AI is rapidly emerging as a critical technology for advancing quantum computing, and this role sits their intersection, requiring the ability to translate advances in AI and quantum research into scalable platforms, developer experiences, and solutions for the quantum ecosystem. If you want to promote the adoption of groundbreaking technologies and make a difference in a fun, dynamic work environment, we want you to join us! What you'll be doing: Defining and continuously refining product strategies, roadmaps, and go-to-market plans for NVIDIA’s AI for Quantum platform and initiatives Collaborating with research, engineering, and product teams both across and outside NVIDIA to build the crucial AI models, tools, APIs, libraries, and workflows needed to accelerate quantum computing Engaging with quantum hardware partners, research institutions, and developers to identify high-value applications of AI across quantum system design, control, calibration, characterization, error correction, and algorithm development Evangelizing and fostering NVIDIA's accelerated computing and AI platform within the ecosystem through technical presentations, whitepapers, conference talks, and direct engagement Identifying untapped opportunities at the intersection of AI, HPC, and quantum to expand NVIDIA’s value proposition and establish new product opportunities Presenting technical product vision and strategy updates to executive leadership What we need to see: Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field, or equivalent experience (PhD preferred) 8+ years of proven experience in AI, accelerated computing, quantum computing, or related technologies, with strong working knowledge of modern AI methods and the quantum computing ecosystem Understanding of how machine learning and AI techniques can be applied to scientific and engineering problems, with the ability to evaluate emerging AI-for-quantum use cases and technologies World-class communication skills with a demonstrated ability to articulate value propositions to both technical and non-technical audiences Strong abilities to set task-level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities Ways to stand out from the crowd: Deep familiarity with AI and quantum computing research, particularly applications of AI to quantum hardware design, device modeling, control, calibration, characterization, error correction, or quantum algorithm development Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks Technical expertise in specific quantum modalities (superconducting qubits, trapped ions, neutral atoms, photonic systems) and an understanding of the challenges involved in scaling quantum hardware Prior product management experience in AI platforms, developer platforms, SDKs, scientific computing, or hardware-software integration bringing research innovations to production With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 258,750 USD for Level 4; and 208,000 USD – 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Quantum Characterization, Verification, and Valida...
PsiQuantum's mission is to build the first useful quantum computers: machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry, including partners like GlobalFoundries, we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don't feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. That approach has since been tested at the highest level of scrutiny the U.S. government applies to emerging technology, and it has held up. In 2025, PsiQuantum closed a $1 billion funding round that valued the company at $7 billion. In 2026, the U.S. Department of Commerce signed a $100 million Letter of Intent under the CHIPS and Science Act, followed by a $125 million agreement with DARPA under Stage C of its Quantum Benchmarking Initiative, PsiQuantum's most valuable U.S. government agreement to date. This year, we also broke ground on our utility-scale quantum computer in Brisbane, Australia, and continued building out our Chicago site. Victor Peng, our CEO, and co-founder Jeremy O'Brien, now Executive Chairman, lead a team and board that reflects how seriously the world is taking this build, joined this year by Intel's Lip-Bu Tan and Atomico's Niklas Zennström. PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies, including Airbus, Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical, to prepare quantum solutions for real-world impact. Quantum computing is not an extension of classical computing. It represents a fundamental shift, and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we now have the funding, the government validation, and the sites under construction to make it real. Job Summary: PsiQuantum is seeking a researcher to develop methods for quantum characterization, verification, and validation (QCVV) of large-scale quantum systems. The successful candidate will work on methods for reliably characterizing quantum channels and system-level behavior in regimes where direct reconstruction is impossible. This includes developing scalable protocols, statistical analysis techniques, and simulation methods that connect experimental data to actionable conclusions about quantum performance. Large-scale simulation is an important part of this role, particularly in the context of characterizing quantum channels, validating QCVV protocols, understanding error mechanisms, and predicting how characterization methods perform on large systems. Relevant experience may include tensor network methods, GPU-accelerated simulation, Monte Carlo methods, stabilizer simulation, and other approaches for modeling large quantum circuits and noisy quantum processes. PsiQuantum’s architecture is based on photonic quantum computing. Prior experience with photonic quantum computing is valuable but not required. Candidates should be eager to learn the relevant photonic concepts and apply their QCVV, modeling, and simulation expertise to a photonic fault-tolerant quantum computing platform. This is a hands-on technical role in a fast-moving environment. The ideal candidate is comfortable owning research projects end to end, working across disciplines, communicating uncertainty clearly, and translating technical results into decisions that improve system characterization and performance. Responsibilities: - Develop scalable QCVV methods for characterizing large quantum systems, quantum channels, and system-level quantum behavior. - Develop statistical and numerical methods for extracting meaningful performance information from limited, noisy, and indirect measurement data. - Build models that connect observed experimental data to underlying quantum channels, error mechanisms, and system-level performance metrics. - Use large-scale quantum circuit simulation to evaluate characterization protocols, diagnose failure modes, and understand the behavior of noisy quantum channels. - Apply simulation methods such as tensor networks, GPU-accelerated computation, stabilizer methods, and Monte Carlo techniques where appropriate. - Work with experimental, architecture, software, and systems teams to compare measured system behavior against theoretical and numerical models. - Contribute to the definition of diagnostic observables and data analysis pipelines needed for reliable system characterization. - Document methods, assumptions, limitations, and results clearly. - Communicate progress, challenges, uncertainties, and conclusions to technical and cross-functional stakeholders. - Take ownership of research tasks from problem definition through implementation, validation, analysis, and communication. Experience/Qualifications: - Ph.D. or equivalent experience in Physics, Electrical Engineering, Applied Mathematics, Computer Science, or a related field. - Experience characterizing or modeling quantum channels, noisy quantum circuits, quantum processes, or quantum error mechanisms. - Experience developing numerical simulations for quantum systems, quantum circuits, or noisy quantum processes. - Programming experience for scientific computing and data analysis, preferably in Python. - Ability to reason quantitatively about uncertainty, noise, finite statistics, model mismatch, and scalability. - Ability to work independently on open-ended technical problems while collaborating effectively with specialists across multiple disciplines. - Strong written and verbal communication skills, including the ability to explain technical results, assumptions, limitations, and risks clearly. Preferred Qualifications - Experience with one or more QCVV techniques such as randomized benchmarking, gate set tomography, cycle benchmarking, process tomography, shadow tomography, Hamiltonian learning, or related methods. - Experience with scalable characterization methods for systems where full state or process reconstruction is not possible. - Experience with tensor network methods for simulating quantum circuits, quantum channels, or noisy quantum processes. - Experience running large-scale simulations on GPUs, HPC clusters, or distributed computing infrastructure. - Experience with simulation tools and frameworks such as PyTorch, JAX, TensorFlow, CUDA, CuPy, NumPy/SciPy, ITensor, Stim, or related tools. - Familiarity with quantum error correction, fault tolerance, logical error rates, decoder performance, Pauli errors, erasure errors, leakage, or correlated noise. - Experience analyzing data from experimental quantum hardware platforms. - Experience with photonic quantum computing, quantum optics, integrated photonics, measurement-based quantum computation, fusion-based quantum computation, or cluster-state models. - Experience collaborating across theory, software, and experimental teams. PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com . We are not accepting unsolicited resumes from employment agencies. Base pay is one part of the total compensation package. Full-time roles are eligible for equity and benefits. Our compensation ranges reflect the cost of labor across multiple U.S. geographic markets, and we pay based on defined geographic zones. This position may be filled within one of the following U.S. geographic zones, each with its own salary range. Actual compensation may vary outside of these ranges and is dependent on various factors including, but not limited to, a candidate's qualifications, relevant education and training, competencies, experience, geographic location, business needs, and internal equity. Your recruiter can share more details about the salary range applicable to your location during the hiring process. - Zone 1 - Bay Area and NYC - Zone 2 - Examples include Los Angeles and Washington DC - Zone 3 - Examples include Austin, Chicago, and Sacramento - Zone 4 - Examples include Nashville and Phoenix/Tempe and many remote locations This position includes the following benefits: competitive health coverage for you and your dependents, 401(k) with company match, equity grants, access to financial wellness tools and planning resources, wellness benefits, family support programs, life and disability insurance, paid leave programs, company-designated paid holidays, discretionary time off (DTO), and an end-of-year company shutdown. Some of these benefits have eligibility requirements and may vary based on location, role, or employment status. Many of these benefits are subsidized or fully paid for by the company. The e s timated annual base salary range for this role is: Zone 1 $126,600 - $148,700 USD Zone 2 $113,900 - $133,800 USD Zone 3 $101,300 - $119,000 USD Zone 4 $88,600 - $104,100 USD
Pricing Data Scientist
About MoonPay MoonPay is for builders with something to prove. This isn't a "work on cool crypto stuff" company. It's a high-standards, high-velocity, high-accountability company building the operating system for value movement. If the internet moves information, we move value: crypto, stablecoins, tokenized assets, and whatever comes next. Four offerings make that real: fund, tokenize, trade, and spend. 30M+ customers and 500+ ecosystem partners run on us. Licensed in the U.S. Regulated across the UK, EU, Canada, and Australia. AI is the default operating mode here. It's woven into every role, and we expect you to use it daily. It handles the manual work so you can deliver on what actually matters. You'll thrive here if outcomes excite you more than process, if impact motivates you more than titles, and if you want hard problems, real ownership, and teammates who love winning, building, and doing it together. The bar is high. The pace is real. We're building for what's next, for humans and agents. Recent recognition: Forbes' America's Best Startup Employers 2026 . 2nd in Crypto Services on Fortune's inaugural Crypto 100 The Sunday Times Best Places to Work two years running Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learned, diversity cannot. Pricing Data Scientist, Partnerships New York, NY (USA) 1. About the Opportunity ✍️ Join our Partnerships team as Pricing Data Scientist and help shape how MoonPay prices its products for partners. As our suite grows across on-ramp, off-ramp, swaps, crypto deposits, and virtual accounts, pricing has become one of the biggest levers on partner revenue and win rates. You'll help set and adjust partner-specific pricing across individual products and multi-product bundles, and build the tools that make pricing faster, more consistent, and more transparent for the whole team. 2. What you will do Develop and execute pricing strategy for individual products and multi-product bundles, including tier structures, concessions, and waivers. Make partner pricing changes directly, within agreed guardrails, and document the rationale behind each change. Review existing pricing using partner-level volume, conversion, and cost data to find where we're leaving revenue on the table or pricing ourselves out of deals. Build AI-powered tools for the Partnerships team, such as pricing calculators, deal-sizing models, transparency dashboards, and experimentation frameworks. Partner with Finance, Partnerships, Product, Compliance, and Legal so pricing is competitive, commercially sound, and consistent with contract terms and cost structure. Reduce ad-hoc pricing escalations by building clear frameworks and self-serve guidance that the partnerships team can use with confidence, and flag product changes the pricing data suggests. 3. About You Deep experience in pricing, monetization, or commercial analytics, ideally at a payments, fintech, marketplace, or B2B platform business. Strong SQL and Python (or similar), and comfort working with large transactional datasets. Experience designing pricing structures such as tiering, bundling, volume discounts, and take-rate models, with a commercial mindset that ties unit economics and competitive context to a clear recommendation. AI fluency: you're comfortable building internal tools with AI assistance and iterating quickly. Ability to influence senior stakeholders, act with autonomy, and explain complex pricing logic to non-technical teammates and partners.
Staff Software Engineer - Backend (Consumer - Agen...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . We're hiring a Staff Software Engineer to join the Coinbase Advisor team within the Consumer & Business group. Coinbase Advisor is the world's first RIA-licensed agentic trading system: an AI advisor living inside the Coinbase app that holds a natural conversation about a user's portfolio, gives personalized financial advice, and executes trades on their behalf. This role is primarily backend on a full-stack team. You'll own the services that make agentic trading feel fast, clear, and trustworthy for millions of customers. What you'll do: - Own backend services powering Coinbase Advisor and Strategies, from technical design through launch and ongoing operation - Build integrations with Coinbase's trading APIs so agent recommendations and user-configured strategies translate into correct, auditable execution - Develop our agentic harness, including tool calling, orchestration, persistent state, and recovery from failed or partially completed actions - Shape agent behavior through prompt engineering, evals, and conversation analysis, partnering with our registered investment adviser on changes to financial advice - Improve service reliability, latency, observability, and execution safety, including retry behavior and safeguards against duplicate actions - Partner with frontend engineering, product, design, trading infrastructure, and legal/compliance to ship customer-facing capabilities within regulatory guardrails Required Skills and Experience: - 5+ years of professional software engineering experience, with deep backend expertise and a track record of shipping and operating production services - Strong experience with API design, distributed systems, data modeling, testing, and debugging production failures - Proficiency in Go or demonstrated ability to learn it quickly - Experience building production LLM or agentic systems, including tool calling, orchestration, or evaluation - Proven ability to take ambiguous projects from zero to production with minimal oversight and sound product and technical judgment - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Position ID: P79041 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $217,900 - $217,900 CAD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Senior Associate, Compliance Model Governance
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . As a Senior Associate, Compliance Model Governance on the Compliance team, you'll own quantitative testing, monitoring, and data quality for the AI and statistical models that power Coinbase's financial crime compliance programs, including transaction monitoring models. You'll sit between Compliance, Data Science, and Engineering, designing the tests, building the pipelines and dashboards that track model health, and ensuring every model in production is defensible to Internal Audit and regulators. What you'll do: - Design and execute quantitative testing for AI and ML models before and after launch, including input data quality testing, variance and stability testing, and performance testing for agentic and LLM-based systems, producing documentation that holds up to independent model validation and regulatory examination. - Build and maintain monitoring pipelines and dashboards that track model inputs, outputs, and downstream outcomes (e.g., SAR performance metrics), applying statistical tests to detect drift and degradation and delivering clear health readouts to model owners and Compliance leadership. - Own data lineage for compliance-critical data elements, designing data quality checks that feed Compliance's data quality control framework and partnering with Engineering to trace data from source systems to control consumption. - Write production-quality SQL and Python pipelines, diagnosing and fixing pipeline bugs and leading data migrations that support external regulatory reporting. - Build detective monitoring scenarios that test whether compliance controls are working, writing and validating the underlying SQL logic. - Prepare testing evidence, model documentation, and walkthroughs for Internal Audit, model validators, and regulators, responding to findings and tracking remediation to closure. Required Skills and Experience: - 4+ years of experience in data science, model risk, quantitative analytics, or data engineering, ideally in financial services, fintech, or another regulated setting. - Strong grounding in applied statistics (hypothesis testing, drift and stability measures, sampling, confidence intervals) with hands-on experience evaluating ML models, including testing LLM-based or agentic systems (e.g., accuracy against human-reviewed samples, variance across runs, input and payload monitoring). - Advanced SQL and Python skills with experience building monitoring dashboards and working in cloud data environments (e.g., Snowflake or Databricks), including data lineage tracing and data quality rule design. - Demonstrated ability to write testing and model documentation that withstands independent review, and to communicate technical results clearly to non-technical compliance stakeholders and auditors. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $148,835 - $175,100 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Group Product Manager, AI Foundations
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . As a Group Product Manager on the AI Foundations team within the Platform product group, you'll own the product strategy and roadmap for the core AI building blocks that every team at Coinbase depends on. This team owns the LLM Gateway, model selection, MCPs, knowledge and context primitives, evaluations, and additional AI infrastructure that powers autonomous and assisted AI experiences across the company. You'll define how Coinbase builds, governs, and scales its AI capabilities, turning foundational primitives into reliable, secure, and high-leverage tools that accelerate product development and operational efficiency company-wide. What you’ll do: - Shape the multi-year vision for AI platform capabilities, identifying emerging technologies and industry shifts that inform investment priorities and architectural decisions. - Own the end-to-end product roadmap and success metrics for AI Foundations, spanning model infrastructure, context and knowledge primitives, integration frameworks, and evaluation systems. - Drive adoption of AI primitives across Coinbase product and engineering teams by building self-serve capabilities, clear documentation, and compelling internal developer experiences. - Lead model governance strategy, defining how Coinbase evaluates, integrates, and manages large language models across cost, quality, latency, and safety dimensions. - Partner with Engineering, Security, Legal, and Finance to ensure AI infrastructure meets Coinbase's standards for reliability, compliance, and responsible use. Required Skills and Experience: - 10+ years of product management experience, with 5+ years focused on AI/ML platforms, developer tools, or infrastructure products used by internal engineering teams. - Proven track record of defining and shipping platform primitives or developer-facing products that achieved broad internal or external adoption. - Deep technical fluency in LLM architectures, model serving, prompt engineering, evaluation frameworks, and agent-based systems, with the ability to engage directly with engineers on design tradeoffs. - Demonstrated ability to lead complex, cross-functional initiatives across engineering, security, legal, and finance in a fast-moving, regulated environment. - Builds conviction with senior and executive stakeholders around ambiguous, high-stakes platform bets, articulating complex technical strategy, investment cases, and tradeoffs in clear narratives that drive alignment and resource decisions. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $243,865 - $286,900 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Senior Machine Learning Engineer
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . The ML & Discovery team in Consumer Growth builds the machine learning systems that help millions of customers discover what to trade and engage with next across crypto, equities, derivatives, and prediction markets. Our models and platforms power personalized feed and asset ranking, intelligent notification orchestration, and LLM-driven market insights across the Coinbase app. As a Senior Machine Learning Engineer (L5) you will own end-to-end initiatives across the ML lifecycle, from problem formulation, feature engineering, and modeling to production serving and online A/B experimentation. Partnering closely with Product, Data Science, and Engineering in a high-velocity, data-driven environment, you will shape our team's roadmap, raise our engineering quality bar, and use AI-native workflows to deliver measurable business impact. What you’ll do: - Own end-to-end machine learning initiatives from problem formulation and offline evaluation to production deployment and online A/B testing, driving measurable lifts in user engagement, retention, and trading activity. - Build and iterate on multi-stage recommendation, retrieval, and contextual bandit models that serve personalized experiences to millions of users across crypto, equities, derivatives, and prediction markets. - Design intelligent notification orchestration, candidate ranking, and targeting systems that match users with timely, high-value alerts while avoiding fatigue and improving user experience. - Develop production LLM pipelines, grounding workflows, and automated evaluation loops that generate accurate, real-time market insights and personalized financial content. - Architect resilient, low-latency model serving services and real-time feature pipelines, eliminating technical debt, leading incident response, and raising our operational reliability bar. - Partner with Product, Data Science, and Engineering to shape the team roadmap, mentor L3-L4 engineers, and build AI-native workflows and automation that multiply team velocity. Required Skills and Experience: - 5+ years of experience in machine learning engineering and software development, with a track record of shipping production ML systems that move customer and business metrics. - Proven track record in one or more relevant domains: recommendation systems, multi-stage ranking and retrieval, contextual bandits, notification targeting, or production LLM applications. - Strong software engineering and data skills in a backend language like Python or Go, with hands-on proficiency in modern ML and data stacks (such as PyTorch, GBDTs, Spark/Databricks, Ray, Kafka, and/or Tecton). - Deep practical knowledge of offline model evaluation, training-serving skew mitigation, and design/interpretation of online A/B experiments tied to business metrics. - Demonstrated ability to drive complex projects end-to-end, make pragmatic architectural trade-offs, and mentor junior engineers. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. P77866 LI-Remote Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $213,750 - $225,000 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Staff Software Engineer, Frontend/Mobile (Consumer...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” Learn more about working at Coinbase . We're hiring a Staff Software Engineer to join Coinbase's Consumer Agentic Finance team. We're building the most trusted financial agent on the most trusted financial exchange: one agent that watches a user's money and the markets, answers any question about their portfolio and trades on their behalf. As the team's frontend technical lead, you'll set the direction for every interface that brings it to users. What you'll do: - Own frontend experiences for the user's agent end to end across mobile and web, including the conversational interface, the trading ideas experience and the entry points that bring users to their agent from across the app - Build real-time, streaming interfaces for AI-driven advice, one-tap trade approvals and autonomous execution that keeps the agent's reasoning legible - Set frontend architecture and technical direction across our agentic surfaces (streaming state, real-time market data and conversational UX), and raise the bar through design reviews, standards and mentorship - Shape agent behavior directly through prompt engineering, evals and conversation analysis - Partner with design, backend engineering and our registered investment adviser to take features from concept to launch inside regulatory guardrails Required Skills and Experience: - 8+ years of professional engineering experience shipping consumer-facing products at scale - Expert-level mobile experience in React Native and native iOS (Swift) or Android (Kotlin) development (experience across both platforms a plus) and proficiency in TypeScript and React - Demonstrated technical leadership of frontend architecture across multiple product areas or a platform, including state management, API integration patterns and performance work that measurably improved latency or reliability, while guiding other engineers through it - Experience building with LLMs in production: agentic systems, tool calling, streaming responses or conversational interfaces - Proven track record driving projects from zero to production with minimal oversight, owning both product and technical decisions - Backend experience (Go preferred) and familiarity with crypto, trading or financial products are a plus - Obsessed with figuring out how you can improve your productivity and code quality leveraging the latest AI-driven coding best practices Position ID: P79042 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Strategic Finance Lead - GTM
We are looking for a Strategic Finance Lead to help scale Perplexity’s consumer and enterprise businesses. You will partner with Marketing and Growth leaders to identify growth opportunities, understand customer economics, and turn investment decisions into measurable business results. You will build our marketing-finance capabilities while helping shape how we acquire customers and generate enterprise pipeline. This role starts as a hands-on individual contributor position for someone who enjoys open-ended problems and turning analysis into action. You will work closely with business leaders and cross-functional teams, with room for your scope to evolve as the company grows. We value someone who can set direction, dig into the details, and follow through. Key Responsibilities - Develop the customer economics and investment recommendations that guide how we acquire and retain customers, grow enterprise pipeline, and scale marketing spend. Use CAC, LTV, and payback to evaluate investment returns. - Partner with Marketing and Growth leaders to build and scale growth initiatives, identify constraints, and determine the resources and changes needed to produce more business. - Build models and analyses to guide growth investments, translate plans into resource requirements and spending forecasts, and track commitments as plans evolve. - Collaborate with data and business partners to strengthen measurement and attribution, connecting marketing activity to business outcomes. Help teams make investment decisions with incomplete information, making assumptions explicit and using results to refine where we invest. - Take ownership of emerging strategic questions across GTM, bringing clear recommendations and adapting as priorities change. What You'll Bring - 5+ years of experience in strategic finance, business operations, growth analytics, or a related field, with experience supporting growth-oriented decisions. - Strong financial modeling and analytical skills, with a deep understanding of customer economics and investment returns. - Ability to work directly with data and build financial models, using AI tools to accelerate analysis and improve workflows. You can validate outputs, interrogate assumptions, and explain the business logic behind your recommendations. - Experience making growth investment decisions across both consumer or self-serve acquisition and enterprise demand generation, with a strong understanding of customer economics and the connection between marketing activity, pipeline, and bookings. - A track record of independently identifying growth opportunities, building the analysis needed to act, and working with partners to implement decisions and learn from results. You move quickly, learn fast, and are willing to do the detailed work yourself. - Strong communication skills and the ability to build trust, challenge assumptions constructively, and work across teams.
Procurement Lead
We're hiring a Procurement Lead to build Perplexity's procurement function. You'll design how Perplexity buys, from the workflow and policies teams follow to the agreements we sign and the vendor relationships we manage after signature. You'll be a key partner to teams across the company, helping them choose the right vendors and structure strong agreements without becoming a bottleneck, and making sure every dollar we commit to third parties earns its keep. This is a high-impact, hands-on role for someone who thrives in fast-paced environments and wants to build the function, not inherit one, with room for your scope to grow as the company does. We value someone who can set direction, dig into the details, and follow through. This position is based in San Francisco and requires in-person attendance 2-3 days per week. Key Responsibilities - Lead our highest-impact vendor deals across software, cloud services, data, and professional services, from competitive alternatives through pricing, terms, and signature - Structure committed-spend, usage-based, and multi-year agreements that scale with our usage and preserve our flexibility - Own relationships with our most important vendors, including performance tracking, business reviews, and renewal negotiations - Design an efficient procurement workflow, policies, and approval thresholds, and implement the tools and AI automation to run them - Use AI workflows and agents to automate procurement, from intake and contract review to spend analysis and reporting - Build visibility into vendor spend and contracts, and drive savings through consolidation, right-sizing, and renegotiation - Partner with Legal, Security, and Accounting on contract terms, vendor risk reviews, and audit-ready controls What You'll Bring - 5-7+ years of experience in procurement or strategic sourcing at a high-growth technology company, including building or scaling the function. - A track record of personally negotiating multi-million dollar software, cloud, or data agreements, managing those vendors and renegotiating at renewal, and delivering measurable savings - Experience building procurement processes, policies, and systems from scratch - Ability to run multiple deals at once with incomplete information, and sound judgment about when to move fast and when to escalate - Comfort using AI tools to accelerate your work and improve workflows - A low-ego, roll-up-your-sleeves approach to projects large and small and to working across the organization - Strong communication skills, the ability to influence senior leaders, and a reputation for being commercially tough and fair
Legal Response Specialist
We're hiring a Legal Response Specialist on Perplexity's Support team to handle legal and other sensitive tickets. You'll help Legal answer routine requests for information and support Governance, Risk & Compliance, or GRC, on privacy and security requests. You'll review cases, write responses, and follow up until the work is done. Support Engineering owns the routing and safeguards that keep these tickets from being missed, answered by AI, or automatically closed. Responsibilities - Monitor designated Support and Legal channels, assess urgency, and route requests for human review. Promptly escalate government, court, law enforcement, and legal-threat requests according to approved procedures. - Respond to routine requests using Legal-approved templates and guidance. Escalate matters requiring legal interpretation or disclosure of user information. - Answer routine requests for information under Legal's guidance. Gather account history and draft responses for matters that need review. - Help GRC process data subject requests and meet deadlines. Follow approved identity-verification and data-handling procedures. - Coordinate security questionnaires and data protection agreements, with Legal and GRC responsible for substantive review and approval. - Track each case through completion, including after handoffs. Record decisions, follow up on deadlines, and confirm the work is done before closing. - Work with Support Engineering to test routing, AI bypass rules, auto-close protections, and alerts. Investigate missed cases and verify fixes. - Keep approved replies and handoff instructions current with Legal and GRC. Arrange backup coverage so cases keep moving when you're out. - Handle other sensitive support escalations. Report backlog, response times, overdue cases, and recurring problems to Support, Legal, and GRC. Requirements - 5+ years in support, trust and safety, legal or privacy operations, or compliance, ideally at a technology company. - Experience handling legal, privacy, or law enforcement requests. - Working knowledge of GDPR, CCPA, and data subject requests. - Judgment about when to involve Legal or GRC, and care with confidential and privileged information. - Clear writing, including in sensitive customer conversations. - Ability to manage competing deadlines and follow through without reminders. - Experience improving support processes with technical teams, including automation and AI safeguards. Nice to have - Experience with Intercom, Decagon, Linear, or Kodex. - Paralegal, privacy, or compliance experience or certification. - Experience with security questionnaires, SOC 2, ISO 27001, or HIPAA. - Familiarity with AI products or data tools for case reviews.
Go-to-Market Recruiter
About the Role We are seeking an experienced GTM Recruiter to partner closely with our GTM leadership team and drive a best-in-class hiring experience across our go-to-market org. The ideal candidate will have a proven track record as a full-cycle GTM recruiter in high-growth environments, with deep experience hiring Account Executives, Customer Success Managers, Support, and the broader sales team. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting. Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and the GTM talent landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signal others miss and to move faster than the market. What You'll Do - Own full-cycle recruiting in support of our Head of Sales, Enterprise AEs, sales leadership hires, and adjacent GTM roles as needed - Partner closely with GTM hiring managers as their go-to talent advisor through weekly syncs, candid pipeline reviews, and honest perspective on candidates and the market - Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top GTM talent at scale - Articulate Perplexity's mission, product, and trajectory in a way that wins candidates against competing offers from later-stage companies - Negotiate and close with precision in a market where every strong candidate has competing offers on the table - Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions - Stay ahead of industry trends, emerging AI recruiting tools, and best practices in GTM recruiting What You Bring - 4+ years of full-cycle GTM recruiting experience, with deep Enterprise Sales hiring under your belt - Experience working at a high-growth startup - Track record of being the go-to recruiter for a sales leader — someone who trusted you with their most important hires - Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement - Fluency with varied ATSs (Ashby preferred) - Strong analytical and data-driven decision-making skills - Proactive, flexible, with excellent communication and interpersonal skills - Ability to thrive in a fast-paced, rapidly changing environment
Global Treasury Manager, Investments & Risk
About the Role This is a foundational treasury role within the Finance team. As we continue with rapid growth, you will own the day-to-day mechanics of cash, optimal capital allocation, banking, and liquidity at a company that commits significant capital to compute and infrastructure. The role sits between Accounting and Strategic Finance with direct exposure to the VP of Strategic Finance. You should want to build the function, not inherit one. Responsibilities Cash and Liquidity Management - Own daily cash positioning across operating accounts and entities across various banking and treasury partners, and maintain the rolling cash forecasts - Own bank account administration across all entities and banking partners, including account openings and closures, signer updates, KYC requests, and portal access reviews. - Oversee payment controls, including approval workflows, segregation of duties, and review of high-value or unusual wires. - Manage the company’s investment portfolio, including money market funds, bank deposits, and separately managed accounts, in line with the investment policy, and oversee the external managers who run it. - Design and build an in-house investment and hedging program, including direct fixed income, compute price hedging, and yield rates - Develop management reporting covering portfolio performance, market conditions, and policy compliance for leadership and board - Monitor FX exposure from international entities and vendors, and support hedging analysis and execution. - Automate repeatable treasury work such as cash positioning, bank reconciliations, and reporting using AI and workflow tools, while keeping people accountable for every approval and movement of money. - Prepare FBAR filings, manage letters of credit and bank guarantees, and support audit requests related to cash and investments. Qualifications - 4-7 years in corporate treasury, cash management, banking, audit, or strategic finance; high-growth technology or startup experience preferred - Experience with developing and managing an in-house investment program and market hedging - Working knowledge of cash forecasting, bank operations, payment rails, and short-duration fixed income. - Strong controls mindset and attention to detail: this role touches money movement, and accuracy is non-negotiable. - Clear written communication, sound escalation judgment, and comfort building process from scratch. - Nice to have: FX hedging, treasury management systems, debt or credit facilities, IPO and SOX readiness, or CTP, CFA, or CPA progress.
Commercial Sales Manager
About the role As a Commercial Sales Manager at Perplexity, you'll lead a team of Commercial Account Executives selling Perplexity Enterprise and Computer to small and mid-sized organizations. You'll be responsible for hiring and ramping the team, coaching sellers through efficient, high-velocity sales cycles, and owning team revenue targets. Responsibilities - Lead, coach, and develop a team of Commercial Account Executives, providing regular feedback to drive individual and team performance - Own team revenue, logo, and activity targets, with accountability for pipeline creation, deal velocity, and forecast accuracy - Hire, onboard, and ramp new Account Executives in partnership with Recruiting and Enablement - Coach the team on outbound prospecting, account prioritization, and converting existing self-serve customers into Enterprise relationships - Help AEs qualify with discipline and run efficient sales cycles from discovery through close, partnering with Enterprise AEs when an account warrants a larger motion - Run a regular cadence of 1:1s, pipeline reviews, and deal reviews, maintaining accurate Salesforce data and forecasts - Partner with Enablement, Product, Marketing, Customer Success, and RevOps to translate field feedback into action You may be a good fit if - 5+ years of SaaS sales experience selling to small and mid-sized organizations, with 2+ years directly managing quota-carrying Account Executives - A track record of meeting or exceeding team revenue targets in a high-growth environment - Experience hiring, ramping, and developing sellers - Experience coaching teams to generate their own pipeline through outbound and product-led signals in a high-velocity sales motion - Strong command of Salesforce, pipeline management, and forecasting - Background selling technical products, ideally AI, data, or infrastructure - Comfort operating without an established playbook
Senior Engineering Manager, IaaS
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. Customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the IaaS group builds the layer they stand on: Kubernetes, networking, and storage, running on our own bare metal. 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. The org hires about ten engineers a month, and this group carries one of the largest shares. The Role You will lead three teams: Managed Kubernetes, Network, and Storage. Managed K8s and Network run today, each with its own lead. Storage is yours to build: charter, first lead, first hires, first systems in production. The group is about a dozen engineers today and roughly doubles this year. Your reports are team leads. The work is direction, staffing, and the seams between the teams: where Kubernetes meets the network, where both meet storage, and where the group meets the metal underneath. You stay technical enough to challenge architecture calls and to know when to trust the people making them. This is a second-line seat for an engineer who moved into management to build world-class organisations. Opportunities like this don’t come up often. What You Will Do - Own delivery and health across three teams' roadmaps. Projects ship with the reliability that finance, healthcare, and public-sector workloads demand. - Manage and grow team leads. Set the standard, hold it, and grow the ones who want your seat one day. - Build the Storage team from zero: define its charter (object and block storage, capacity planning, tiering, backup), hire its lead and engineers, and put the first systems into production. - Own the seams: architecture that crosses Kubernetes, network, and storage, and the boundary with the fleet and hardware-design groups below you. - Partner with Product Managers to set priorities and make the tradeoffs between what customers need now and what the platform has to become. - Hire. Your group carries a big block of the org's openings; you build the machine that fills it and onboards people fast. - Raise the engineering bar through mentoring, feedback, and the standard your leads copy. What We're Looking For - You have led multiple engineering teams in production infrastructure as a second-line manager. Managing managers, running several teams at once, is the experience we need. - Your ground is orchestration: you have run Kubernetes or compute orchestration at real scale, shipped systems in Go, and worked on Linux itself, below the managed-service layer. - You know network and storage well enough to challenge specialists and tell a sound design from a lucky one. - You are comfortable next to hardware. This group runs on Mistral's own metal, and you will work with the fleet and hardware teams every week. - You have built a team from nothing: written the charter, made the first hires, shipped the first system. - You have grown leaders, not only engineers. People you managed now run teams of their own. - A low-ego, team-first mindset. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Field CTO, MENA
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 Field CTO role is one of Mistral's senior external technical voices; a role for someone who has earned genuine credibility in the AI field and can engage enterprise boards, CIOs, and CTOs as a peer. You will shape how strategic accounts think about their AI strategy, represent Mistral at major industry events, and publish thought leadership that reflects a real point of view on where AI is going. You will work closely with regional sales leadership across your territory and bring what you learn from executive conversations back into Mistral's product direction. This is an externally-facing, influence-driven role. The output is measured in relationships built, content published, and executive conversations that move. What You Will Do Executive engagement Run Mistral's Executive Briefing Center with your regional VP; a selective program for C-level stakeholders at strategic accounts. Build and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, and VP Engineering across your territory. Thought leadership Publish regularly: articles, whitepapers, and analysis of where enterprise AI is heading. Brief Gartner and Forrester on Mistral's roadmap and market position. Track frontier research and bring it into customer conversations. Conference and event presence Represent Mistral at major industry events through keynotes, panels, and roundtables. Build a public presence that generates inbound interest from enterprise executives and the wider AI community. Market feedback Bring what you hear in executive conversations back into product direction. Patterns across accounts on governance requirements and deployment constraints should reach the people building the models. What We're Looking For - Demonstrable credibility in the AI field. A public track record in AI: published papers, articles, or talks that reflect a clear, defensible position. Your work should read as credible next to Mistral's technical brand. - A stated position on open-weight models and what they change for the enterprises adopting them. Your existing public positions should sit comfortable next to Mistral's. - You are fluent in European data sovereignty and on-premise deployment, at the level that holds up with a CTO or VP Engineering asking hard questions. - You are comfortable engaging C-level stakeholders across multiple verticals on technical architecture and business strategy, in the same conversation. - Cross-vertical fluency, you can credibly engage across financial services, manufacturing, defense, and energy without being a domain specialist in any one of them. - 10–25 years of experience in enterprise technology. You have held roles such as: Field CTO, Principal Architect, or VP Engineering at a major cloud or AI company, or a founder who built technical credibility and executive relationships through their own company. - Comfortable with 30-50% travel depending on your region. Nice to have - Existing network of CTO and CIO relationships at enterprise accounts in your region - Prior Field CTO or equivalent externally facing technical role at a major cloud or AI company - Fluent in multiple languages spoken across your region 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Executive Assistant to VP, Cloud & VP, Product
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 As an Executive Assistant at Mistral, you will support two senior leaders: our VP, Cloud and our VP, Product. These are distinct teams with their own leadership, stakeholders, and priorities. You will be the operational backbone for both, with stakeholders spanning engineering, product, go-to-market, customers, partners, and investors across France, Europe, and the US. The role has been created because both organizations are scaling fast and their leaders' time is the scarcest resource. You will own the leaders' calendars, communications, travel, and meeting preparation end to end and go further: coordinating cross-functional initiatives, running leadership rituals, and supporting high-stakes external moments such as customer and partner engagements, roadshows, and board or investor touchpoints. Balancing two executives from different teams takes real judgment: you will arbitrate scheduling conflicts, keep both leaders ahead of commitments, and handle sensitive information with discretion, representing them with professionalism in every interaction. This is a role with real ownership where you will design the processes, dashboards, and ways of working that keep two distinct organizations running smoothly. What You Will Do - Run the VP, Cloud's and VP, Product's calendars and priorities across multiple time zones, arbitrating between competing demands to protect their focus for strategic decisions. - Prepare briefings, agendas, presentations, and follow-up notes for leadership, board, investor, customer, and partner meetings. - Act as the primary point of contact for internal and external stakeholders on behalf of both leaders, handling email, Slack, and calls with clarity, judgment, and confidentiality. - Coordinate international and domestic travel for both executives, including itineraries for customer roadshows and executive offsites across Europe and the US. - Organize internal and external events end to end including team gatherings, client meetings, offsites, and company-wide moments. - Drive cross-functional projects and initiatives that connect the Cloud and Product organizations with GTM, Engineering, Datacenter, and People & Operations, from planning through follow-through. - Build and maintain both orgs' operational backbone including documentation, dashboards, shared folders, and tracking of deadlines and deliverables. - Spot inefficiencies and own process improvements or special projects that raise the bar for how both organizations operate. Skills We're Looking for - Proven experience supporting senior executives (VP level or above) as an Executive Assistant, ideally multiple leaders simultaneously, in tech, infrastructure, or other complex high-growth environments. - Exceptional communication skills in English and fluency in French is essential. - Demonstrated judgment in balancing competing priorities across multiple leaders, teams, and time zones with discretion and confidentiality. - Strong command of Google Workspace or Microsoft Office, plus productivity tools such as Notion and Slack. - A proactive, solutions-oriented mindset - you anticipate needs, close loops, and take ownership of outcomes without being asked. - A genuine interest in AI and technical products. You learn quickly and engage credibly with engineers, product managers, customers, and executives. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Energy Procurement & Policy
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 Cloud builds and operates the infrastructure that powers Mistral's AI. The Data Centers team signs long-term leases for data center capacity developed by third-party operators, sources the GPUs that fill those halls, and runs the workloads that train and serve Mistral's models. Today the team is around 40 people, mainly based in Paris with some remote members, and operates roughly 200 MW of existing capacity across France. Key partners include Éclairion in France and EcoDC in Sweden, which is currently delivering Mistral's first Swedish data center. The team sits at the center of an ambitious roadmap: Mistral has publicly committed to securing one gigawatt of data center capacity globally by 2030. With 200 MW already online, roughly 800 MW remain to be secured over the next five years. Every megawatt needs power, and power is this role's domain. The Role Mistral's data centers will consume hundreds of megawatts of electricity. This hire makes sure that power is reliable and affordable. You will define and execute Mistral's energy procurement strategy: structuring agreements with utilities, hedging against volatile spot prices, and tracking the regulatory changes that affect where and how data centers can be powered. The role also touches energy policy and community relations in the regions where Mistral operates. This is a hybrid seat. Roughly half of the work is commercial: procurement contracts, hedging instruments, and price risk management. The other half is policy and positioning: monitoring regulation, engaging with grid operators and local authorities, and helping Mistral build the social license to operate large data centers across Europe. What You Will Do - Define and execute Mistral's energy procurement strategy across European data center sites - Negotiate power purchase agreements and procurement contracts with utilities - Structure hedging agreements to limit exposure to volatile spot power prices - Monitor energy regulation and policy developments that affect data center siting, grid connection, and power pricing - Engage with grid operators, regulators, and local communities in regions where Mistral builds and operates data centers What We're Looking For - You have procured energy at scale. You have structured power purchase agreements, utility contracts, or hedging instruments for industrial or infrastructure-scale consumers. - You understand European energy markets. You know how power pricing, grid connection, and regulation work across the markets where Mistral operates. - You can read a regulatory brief. You have tracked and interpreted energy or infrastructure policy and translated it into commercial implications. - You communicate across disciplines. You work effectively with engineers, finance, legal, and external stakeholders, and can explain complex energy concepts to non-specialists. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Data Center Long-Term Capacity Partnerships
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 Cloud builds and operates the infrastructure that powers Mistral's AI. The Data Centers team signs long-term leases for data center capacity developed by third-party operators, sources the GPUs that fill those halls, and runs the workloads that train and serve Mistral's models. Today the team is around 40 people, mainly based in Paris with some remote members, and operates roughly 200 MW of existing capacity across France. Key partners include Éclairion in France and EcoDC in Sweden, which is currently delivering Mistral's first Swedish data center. The team sits at the center of an ambitious roadmap: Mistral has publicly committed to securing one gigawatt of data center capacity globally by 2030. With 200 MW already online, roughly 800 MW remain to be secured over the next five years. The Role Mistral's cheapest and best-tailored capacity is the capacity planned furthest ahead. This hire builds the partnerships that make that possible: long-term relationships with infrastructure funds, data center developers, and landowners who acquire sites, secure grid connections, and construct bespoke facilities on Mistral's behalf, three to four years before the first GPU is installed. You will define the collaboration principles that govern this ecosystem. You will structure partnerships where third parties carry development risk and Mistral locks in capacity designed to its technical specifications. The role is part strategist, part negotiator, part ecosystem builder. What You Will Do - Negotiate long-term capacity partnerships with infrastructure funds, data center companies, and landowners across Europe - Define collaboration principles and contractual frameworks that allow third parties to develop data centers on Mistral's behalf - Structure bespoke data center designs so that power, cooling, and layout are tailored to Mistral's technical needs - Build a pipeline of development sites: land acquisition, grid connection, and construction timelines planned three to four years out - Align partnership strategy with Mistral's science and infrastructure roadmaps What We're Looking For - You have built infrastructure partnerships. You have negotiated long-term capacity or development agreements with data center operators, infrastructure funds, or similar counterparties. - You think in multi-year horizons. You have planned capacity three to five years ahead and understand how early commitment reduces cost and improves design control. - You can define frameworks, not just close deals. You have created collaboration models that align third-party incentives with your own technical and commercial requirements. - You operate across European markets. You have worked across multiple jurisdictions and understand the regulatory and permitting landscape for data center development. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
Solutions Architect - Western Europe
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. We're hiring Solution Architects to help the world's best engineering organizations figure out what AI-native software development actually looks like in production. This is a deeply technical, post-sale role embedded inside SpaceXSI's most strategic enterprise accounts. You'll work directly with engineering teams to roll out high-impact workflows, accelerate adoption, and help organizations fundamentally rethink how software gets built with AI. Solution Architects sit at the center of long-term customer transformation. RESPONSIBILITIES: - Help Engineering Teams Adopt AI-Native Development: Roll out SpaceXSI across strategic engineering organizations; configure environments, design workflows, and run hands-on enablement sessions; help developers integrate SpaceXSI into real production workflows, not isolated demos; drive fast time-to-value and durable adoption across teams; identify workflow friction and solve problems quickly - Expand SpaceXSI Across the Organization: Identify where SpaceXSI should expand next inside the customer environment; help engineering organizations evolve from isolated usage to company-wide adoption; design rollout strategies for new workflows, teams, and platform groups; partner with customers to operationalize AI-assisted development at scale; work closely with Account Executives during major expansion moments - Become a Trusted Technical Partner: Build deep relationships with developers, platform teams, engineering leadership, and executive stakeholders; lead architecture reviews, technical working sessions, and strategic planning discussions; advise customers on developer productivity, workflow design, governance, and AI adoption strategy; coordinate across Sales, Product, Engineering, and Customer Success to unblock customer progress; help organizations navigate workflow and operational change as AI-native development evolves - Drive Real Customer Outcomes: Help customers translate adoption into measurable engineering impact; connect SpaceXSI usage to outcomes like faster iteration cycles, improved developer productivity, workflow efficiency, and engineering quality; help customers communicate the value of SpaceXSI internally and build momentum for broader adoption; turn successful deployments into repeatable workflow patterns across the organization - Help Make SpaceXSI Indispensable: Deepen workflow adoption and long-term product stickiness; monitor competitive risk and help customers standardize on SpaceXSI over time; support recovery plans when adoption slows or competing tools gain traction; help customers build workflows they can't imagine operating without - Shape the Future of the Product: Bring structured feedback from strategic customers into Product and Engineering; identify emerging workflow patterns, friction points, and enterprise requirements; help shape new capabilities through lighthouse customers and design partnerships; turn successful customer workflows into reusable playbooks and reference patterns BASIC QUALIFICATIONS: - Technical background in software engineering, infrastructure, DevOps, platform engineering, or developer tooling - Experience in a customer-facing technical role such as Solutions Architect, Solutions Engineer, Forward Deployed Engineer, Technical Account Manager, Enterprise Architect, or similar PREFERRED SKILLS AND EXPERIENCE: - The ability to work hands-on with engineering teams while also operating strategically with technical leadership - A strong understanding of developer workflows, SDLC tooling, integrations, CI/CD systems, governance, and enterprise engineering environments - Excellent communication skills and the ability to explain complex technical concepts clearly across both technical and executive audiences - Strong instincts around workflow design, adoption strategy, and driving workflow change across engineering teams - High ownership, strong execution skills, and comfort operating in fast-moving environments with ambiguity - A passion for developer tooling and strong conviction around how AI will reshape software engineering
Senior Motion Designer
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role We are looking for a Senior Motion Designer to help shape how SpaceXSI moves and shows up in the world. This role is built for someone who has built motion systems in fast-moving environments, cares deeply about craft, and brings an AI-first mindset to how creative work gets made. You'll join the Brand Studio, the team behind the brand across the entire SpaceXSI ecosystem (from Grok and Grok Bot to X), and help define both the motion language of the brand and how it comes to life in our campaigns and products. This is a hands-on role. Much of the foundation is still being built, so you'll spend real time animating and making things yourself. It also comes with significant ownership: you'll lead projects from first concept through final delivery, and your work will help set the bar for how the brand moves. What you'll do - Motion system: Define and extend the brand's motion language (timing, easing, transitions, logo animation, typography in motion, and graphic behaviors) and document it so other teams can apply it correctly. - Workflows & toolkits: Turn recurring motion work into repeatable, AI-assisted workflows: templates, tools, and generators that let marketing, product, and other teams produce on-brand motion without you in the room. - Campaigns: Concept and produce motion end to end, from storyboards through final delivery, across launch films, product videos, social, paid, web, and out-of-home. - Product motion: Partner with product designers and engineers to bring brand motion into product surfaces, from interactions and transitions to onboarding and launch moments. - Creative direction: Direct agencies, animators, and freelancers with clear briefs and candid feedback so the output meets the bar you'd set yourself. - Collaboration: Partner with marketing, product, engineering, and leadership; bring a motion point of view to new surfaces as they appear, and present your thinking clearly to senior stakeholders. - Range at speed: Move between projects quickly while holding a consistently high bar, and keep improving the process, not just the output. What you bring - 6+ years of motion design experience, in-house or at an agency or studio. - Fluency in After Effects, Cinema 4D or Blender, Figma, and Adobe Creative Cloud. - Experience in AI coding tools, especially Cursor. You can build your own tools, scripts, prototypes, and simple web pages instead of waiting on engineering. - Hands-on experience with AI video and image generation tools as part of a real production workflow. - A reel and portfolio that show both motion system work and shipped campaigns. Bonus if they include tools or workflows you built. - Sharp instincts for timing, rhythm, typography in motion, and storytelling. - Experience in animation workflows from conceptualization, storyboard design, to execution - A systems mindset: you naturally turn one-off tasks into reusable processes and think about how creative work scales. - Conviction in your design decisions and the ability to explain why they matter, to designers, marketers, and leadership alike. - Self-directed, fast, and energized by variety and ambiguity. Nice to have - Experience building or relaunching a brand's motion identity at a fast-growing tech company. - Experience with real-time or code-based motion, such as Rive, Lottie, or WebGL. - 3D modeling, lighting, and rendering skills. - Sound design sensibility, enough to work closely with audio partners. - Experience leading agencies on large, multi-channel campaigns.
Marketing Strategy & Operations Lead
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. This is a builder-first role. SpaceXSI is building its first formal marketing operations function, and we're looking for a technical, hands-on leader to own the strategy side of it. You'll work directly with our Marketing executives as their operational right hand, turning a fast-growing marketing organization into one that's measurable, accountable and tightly tied to pipeline. The foundation is already in place. Our core data model (campaigns, moments and leads flowing into MQLs for sales) is well built and working. Your job is to design everything that sits on top of it: how we attribute pipeline, how we structure and run campaigns, which metrics we report on, and how leads get to sales. You'll partner closely with our Revenue Operations systems team, who build and implement what you design. Very little here is set in stone, so you'll have real ownership over how marketing operations works at SpaceXSI. Rev ops support is also expanding into other parts of the SpaceX business, which may open up a broader scope over time. RESPONSIBILITIES: - Design and drive our multi-touch attribution model in your first 6 months. You'll define the methodology, get stakeholders aligned on the trade-offs, and partner with the systems team as they build it. - Redesign how campaigns are created, structured and managed in Salesforce so they're consistent, reportable and easy for the team to use. - Define the core marketing metrics, align marketing, sales and leadership on them, and track them consistently using dashboards and queries you build yourself in Databricks and Salesforce. - Own the marketing-to-sales handoff so MQLs reach sales and SDRs in a form that's easy to act on. - Launch and run a recurring pipeline council that reviews marketing performance, how it affects pipeline, and where to invest next. - Bring structure and clear ownership to marketing operations by setting priorities and preventing duplicated work, and partner with marketing leadership on planning, ROI tracking and spend decisions. BASIC QUALIFICATIONS: - 8+ years of experience in marketing operations or revenue operations at SaaS or consumption-model companies, including experience leading the function - Experience running a pipeline council or similar review that ties marketing performance to pipeline and investment decisions - Hands-on technical skills, including writing SQL, building your own dashboards, and working with Salesforce data structures such as campaigns, campaign members and leads PREFERRED SKILLS AND EXPERIENCE: - Experience at both product-led growth (PLG) and sales-led growth (SLG) companies, with a clear sense of how marketing operations differs between them - Deep expertise in multi-touch attribution, including designing and owning a model end to end and explaining its trade-offs to stakeholders - Experience growing a marketing operations team, with clear ownership and priorities - Experience launching a marketing operations function from the ground up
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