Join our Physics Simulation Team at NVIDIA! Work on a feature within Newton physics or build a user workflow using Newton to solve concrete customer needs and accelerate robot learning. Possible areas include physics calibration and validation, simulation fidelity and performance, and integration into robotics training and evaluation workflows. We are looking for an analytically strong, curious intern who uses AI tools effectively, exercises good technical judgment, and takes initiative and sees their work through to completion. The specific project will be selected closer to the internship start, matching your strengths with our team's evolving development priorities.

Location: Zurich, Switzerland. Start: During 2027. Expected duration: 6 months.

What You Will Be Doing:

• Collaborate with senior robotics and simulation engineers to understand a customer need and develop a Newton core feature or a reusable workflow using Newton.
• Take ownership of a scoped contribution from investigation through implementation and evaluation, with guidance, mentoring, and code review from experienced engineers.
• Design experiments to demonstrate measurable improvements in correctness, physical fidelity, reliability, performance, or usability using our robotics software stacks and, where appropriate, robotic hardware.
• Use AI-assisted development tools to explore approaches, implement and debug code, and validate results.
• 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.