Senior Software Engineer - NVIDIA Warp

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.