PhD Robotics Simulation & Policy Intern

NVIDIA Corporation; Zürich; On-site; CHF 17,000 - 28,000; Part time

Job summary

NVIDIA Corporation in Zürich invites PhD candidates specializing in robotics and AI to join our robotics team as interns. You will co-develop novel robot learning methods, run comprehensive experiments, and contribute to sim-to-real transfer efforts using GPU-accelerated simulation.

The role emphasizes collaboration with researchers and engineers, sustainable publication output, and potential product contributions across NVIDIA's platforms.

Qualifications

• Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics, or related field.
• Demonstrated research experience in agentic policies, world action models, robot policy training and evaluation, or sim-to-real transfer.
• Strong Python skills and hands-on development with PyTorch or JAX.

Responsibilities

• Collaborate with robotics and ML experts to scope a scientifically novel project aligned with NVIDIA's robotics roadmap.
• Design, implement, and evaluate robot learning methods using GPU-accelerated simulation and real hardware where appropriate.
• Run rigorous experiments, build baselines, ablate ideas, and communicate results clearly.
• Write clean, well-documented research code for team reuse.
• Collaborate with researchers and product teams to transfer research into NVIDIA products and platforms.
• Deliver results as prototypes, publications, and potential contributions.

Skills

PhD student

Python

Communication skills

Research experience

Education

PhD program in CS/EE/Robotics

Tools

PyTorch

JAX

Job description

NVIDIA Corporation in Zürich invites PhD candidates specializing in robotics and AI to join our robotics team as interns. You will co-develop novel robot learning methods, run comprehensive experiments, and contribute to sim-to-real transfer efforts using GPU-accelerated simulation.

The role emphasizes collaboration with researchers and engineers, sustainable publication output, and potential product contributions across NVIDIA's platforms.