Contribute tests, documentation, and maintainable software that help users get reliable simulation results and accelerate robot learning.
What We Need to See
You are pursuing an MS or PhD in Computer Science, Robotics, Physics, or a related field.
Strong analytical abilities, with foundations in mathematical analysis, linear algebra, numerical algorithms, and physics.
Strong programming skills and the ability to understand, modify, and debug an existing codebase.
Proficiency with AI-assisted development and coding agents, including the ability to understand, challenge, and validate generated work and explain your technical decisions.
Good judgment in choosing meaningful problems and defining manageable experiments, with a willingness to learn independently and adapt as requirements and priorities change.
Solid software engineering foundations, clear technical communication, and a willingness to take responsibility for the quality and health of the shared project.
Ways to Stand Out From The Crowd
Experience with physics engines such as Newton, PhysX, or MuJoCo, or with numerical simulation and scientific computing.
Hands-on experience in robotics, control, robotic manipulation, or machine learning for robotics.
Experience with NVIDIA's robotics software stack, such as Isaac Sim and Isaac Lab.
Experience with GPU programming and performance analysis using NVIDIA Warp or CUDA.
A project demonstrating careful experimental design, physical or numerical validation, and reusable software or research results.
NVIDIA is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
