NVIDIA
Technology
SeniorSoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer at NVIDIA. Skills: Robotics, Embedded systems, Simulation, GPU. Own and improve end-to-end path for deploying Warp-based. Build and maintain reproducible deployment workflows”
Industry & Context.
Debugging; Troubleshooting
What They're Looking For.
Must Have
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, Practical understanding of Linux-based deployment workflows, Ability to reason about GPU performance and memory behavior
Nice to Have
Experience in robotics, autonomy, or real-time systems, Profiling and system tools experience
What You'll Do.
Own and improve end-to-end path for deploying Warp-based
Build and maintain reproducible deployment workflows
Optimize on-device performance under real constraints
Debug complex issues across the stack
Integrate Warp components into robotics applications and frameworks
Work with partner teams to unblock adoption
Develop system-level testing
and performance regression infrastructure
Collaborate with compiler
and kernel engineers to
How You'll Work.
Team & Collaboration
Partner teams; Compiler engineers; Runtime engineers; Kernel engineers
Full Job Description
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 architectur
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