Robotics Simulation Intern - Newton Core & AI Tools, Zurich

NVIDIA Corporation; Zürich; On-site; CHF 20,000 - 33,000; Full time

Job summary

NVIDIA is seeking an analytically strong intern to join the Physics Simulation Team in Zurich, Switzerland. You will work on a Newton feature or reusable workflow, with ownership from investigation through implementation and evaluation, guided by experienced engineers.

We value strong mathematical foundations, performance-aware coding, and the ability to design meaningful experiments. Expect mentoring, tests, and documentation that accelerate robot learning.

Qualifications

• Pursuing an MS or PhD in Computer Science, Robotics, Physics, or related field.
• Strong analytical abilities grounded in mathematics and physics.
• Excellent programming skills and ability to modify existing code.
• Proficiency with AI-assisted development and coding agents.
• Ability to design meaningful experiments and learn independently.

Responsibilities

• Collaborate with senior robotics and simulation engineers to develop a Newton core feature or workflow.
• Own a scoped contribution from investigation through implementation and evaluation with mentoring.
• Design experiments to demonstrate measurable improvements in fidelity, performance, or usability.
• Use AI-assisted development tools to explore approaches and validate results.
• Contribute tests, documentation, and maintainable software for reliable simulation results.

Skills

Analytical abilities

Programming skills

AI-assisted development

Education

MS/PhD in CS/Robotics/Physics

Tools

AI tools

Job description

NVIDIA is seeking an analytically strong intern to join the Physics Simulation Team in Zurich, Switzerland. You will work on a Newton feature or reusable workflow, with ownership from investigation through implementation and evaluation, guided by experienced engineers.

We value strong mathematical foundations, performance-aware coding, and the ability to design meaningful experiments. Expect mentoring, tests, and documentation that accelerate robot learning.