NVIDIA is seeking a passionate individual to join their robotics team, focusing on the development of AI and robotics through GPU-accelerated simulation and algorithms. The role involves improving deployment workflows for Warp-based robotics on embedded platforms like Jetson. Candidates will work in a collaborative environment, tackling complex issues across various programming languages and systems. This position offers the opportunity to make a significant impact in the field of robotics and AI.

• 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.
• 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.

• 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.
• 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.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.