List job

Senior Software Architect, GPU Networking Research

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a principal architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.What you’ll be doing:Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.Lead vision, architecture and design of such technologies.Lead proof-of-concept development to evaluate and drive such technologies.Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.Work with the community and maintainers to drive strategic technologiesWhat we need to see:Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).8+ years of industry experience (or equivalent) in systems architecture or related fields.Experienced in virtualization, networking and storage.Experienced in either Windows or Linux drivers, with a very good background of the other OS.Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads.A teammate with a can-do attitude, high energy and excellent interpersonal skills.Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.Ways to stand out from the crowd:Shown research track record.Have experience and passion for system architecture, CPU/GPU/memory/storage/networking.Stellar communication skills.Knowledge in Deep Learning frameworksNVIDIA 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 in the world working for us. If you're creative and autonomous, we want to hear from you!NVIDIA is committed to fostering a diverse 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.

Today, NVIDIA is 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.We are looking for dedicated interns to join our robotics team. You will develop novel approaches to agentic robot policies, world action models, robot policy training and evaluation, and sim-to-real transfer, working alongside the researchers and engineers who build NVIDIA's robotics and simulation platforms. Our internships are an excellent opportunity to grow as a researcher and gain hands-on experience with industry-leading robotics teams. We are looking for curious, ambitious, and collaborative individuals who take ownership of open-ended problems and are excited to help us tackle challenges no one else can solve.What you'll be doingWork closely with experts in robotics and machine learning to scope a ch project that is both scientifically novel and relevant to NVIDIA's robotics roadmap.Design, implement, and evaluate new robot learning methods using GPU-accelerated simulation and, where appropriate, real robot hardware.Run rigorous experiments: build strong baselines, design evaluation protocols, ablate your ideas, and communicate clearly.Write clean, well-documented research code that other team members can build on.Collaborate with researchers and internal product teams to transfer your research into NVIDIA products and platforms.Deliver results as prototypes, patents, product contributions, and publications at top-tier venues.What we need to seeCurrently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, Robotics, or a related field.Research experience in one or more of the following: agentic policies, world action models, robot policy training and evaluation, or sim-to-real transfer, demonstrated through publications, preprints, a thesis, or open-source projects.Strong Python skills and hands-on development experience with a modern deep learning framework (e.g., PyTorch, JAX).Strong written and verbal communication skills, including presenting research results to both experts and non-experts.Ways to stand out from the crowdFirst-author publications at top robotics and machine learning venues (e.g., CoRL, RSS, ICRA, IROS, NeurIPS, ICML, ICLR, CVPR).Deep expertise in robot learning: reinforcement learning, imitation learning, or training and fine-tuning large vision-language-action (VLA) or world models for robotics.Deep expertise in GPU-accelerated physics simulation (e.g., PhysX, Isaac Gym / Isaac Lab, Newton, MJX), including building simulation environments, assets, or domain randomization pipelines.Experience deploying learned policies on real robot hardware (manipulators, humanoids, or mobile robots) and closing the sim-to-real gap.Experience with large-scale, multi-GPU training and data pipelines with contributions to open-source robotics or simulation projects.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 in the world working for us. If you're creative and autonomous, we want to hear from you!

Zurich

Software Verification Engineer

We are seeking a talented and driven Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.What You’ll Be Doing:Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.What We Need to See:Bachelors/master’s degree in computer science or computer engineering, or equivalent experience3+ years of experience in software testing, QA automation, or software engineering.Strong proficiency in Python and scripting for automation.Solid experience with Linux-based environments, including system tools and command-line utilities.Proven understanding of computer networking and modern Linux operating systems.Familiarity with software testing, integration, and system validation practices.Excellent problem-solving, critical thinking, and communication skills.Ability to work independently, manage multiple tasks, and drive technical initiatives.Great interpersonal skills, agility, and determination for success.Fluent English; strong presentation and public speaking abilities.Ways to Stand Out from the Crowd:Deep technical know-how and familiarity with networking protocols or low-level system tools.Experience with Docker, KVM, or other virtualization technologies.Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana).Experience with large HW+SW systems and advanced Linux OS technologies.Proficiency with GIT, Bash, and other scripting languages.If you are creative, autonomous, and passionate about delivering world-class software solutions, we want to hear from you! Join us and work alongside some of the most forward-thinking and dedicated professionals in the industry.NVIDIA is committed to fostering a diverse 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.

Remote

PhD Research Intern, Autonomous Systems and Physical AI Research - 2027

We are recruiting outstanding Research Interns to work on autonomous vehicles, robotics, and physical AI!Intelligent machines that can perceive, reason, and safely interact with people and the physical world are rapidly becoming a reality. Self-driving cars, autonomous delivery and construction vehicles, mobile manipulators, and other robotic systems are moving closer to widespread deployment. However, fundamental research challenges remain before these systems can operate safely, reliably, and autonomously in complex, unfamiliar environments.For example, how can we:Develop new training paradigms that use perception and interaction to train autonomous vehicle and robot policies in closed loop?Equip autonomous systems with online and offline assurances that meet the requirements of safety-critical applications?Enable vehicles and robots to navigate across new environments, tasks, and embodiments?Build systems that reason under uncertainty and interact safely and naturally with people and other agents?These are some of the exciting questions being explored by NVIDIA’s Autonomous Systems and Physical AI Research (ASPIRE) group. Our diverse, interdisciplinary team conducts foundational research spanning foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI development. We also investigate related areas including decision-making under uncertainty, deep learning, reinforcement learning, simulation, and the verification and validation of safety-critical AI systems.Our focus is on fundamental research, and lab members are encouraged to publish their work and open-source their code. NVIDIA is known for its collaborative culture, and our researchers work closely with experts across the company in autonomous vehicles, robotics, perception, simulation, and machine learning. This creates opportunities to influence real-world products while retaining the freedom and bandwidth to conduct groundbreaking, publishable research.What you’ll be doing:Designing and implementing cutting-edge techniques for autonomous vehicles, robotics, and physical AI.Conducting original research and publishing your results.Collaborating with research colleagues, internal product teams, and external researchers.Transferring technology you’ve developed to relevant product groups.What we need to see:Currently pursuing a PhD in Robotics, Computer Science, Computer Engineering, or a related field.Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.Strong knowledge of the theory and practice of vehicle or robot autonomy—or expertise in a related area, with a strong interest in applying your work to autonomous systems.A track record of research excellence, demonstrated through publications at leading conferences and journals—such as RSS, ICRA, CoRL, IJRR, NeurIPS, ICML, CVPR, TAC, etc.—and through other research artifacts such as open-source software.Exceptional Python programming skills; experience with C++ and parallel programming, such as CUDA, is a plus.Experience with machine learning frameworks such as PyTorch.Strong communication and interpersonal skills are required, along with the ability to thrive in a dynamic, research-focused team.Are you intellectually curious, collaborative, and motivated to solve complex problems at the intersection of AI and the physical world? If so, you may be a great fit for NVIDIA.

Zurich