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.
Are you passionate about robotics and ready to expand embedded systems? At NVIDIA, we're developing the future of AI and robotics. Our team is advancing GPU-accelerated simulation and robotics algorithms with NVIDIA Warp. Join us and collaborate with an experienced group committed to pushing the limits in robotics.
What you'll be doing:
- Own and improve the end-to-end path for deploying Warp-based robotics and simulation components onto embedded platforms such as Jetson.
- Build and maintain reproducible deployment workflows including cross-compilation, CI, packaging, and containerized delivery for embedded robotics targets.
- Optimize on-device performance under real constraints including latency, throughput, memory footprint, thermals, and power.
- Debug complex issues across the stack spanning Python, C++, CUDA, drivers, and embedded Linux, including hard-to-reproduce device-specific failures.
- Integrate Warp components into robotics applications and frameworks, including ROS 2 and Isaac-based stacks, and work with partner teams to unblock adoption.
- Develop system-level testing, validation, and performance regression infrastructure for embedded targets.
- Collaborate with compiler, runtime, and kernel engineers to improve portability and performance across GPU architectures and embedded configurations.
What we need to see:
- B.Sc. or M.Sc. or Ph.D. or equivalent experience in Computer Science, Computer Engineering, Robotics, Applied Math, Physics, or a related field.
- 8+ years of experience with software engineering skills in C++ and Python, comfortable working across build systems and deployment tooling.
- Experience shipping software to embedded or edge devices, ideally in robotics, autonomy, or real-time systems.
- Practical understanding of Linux-based deployment workflows including packaging, dependencies, drivers, and debugging in constrained environments.
- Ability to reason about GPU performance and memory behavior, and to diagnose bottlenecks using profiling and system tools.
- Strong collaboration and communication skills, with a bias toward execution and unblocking users.
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/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 June 8, 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.