Robotics Simulation and Evaluation PhD Intern - Summer 2027
NVIDIA· Intern
Zurich, SwitzerlandinternPosted 2w ago
About the role
PhD internship focused on robotics learning, simulation, and sim-to-real evaluation at NVIDIA. Develop novel robot policies, world action models, and evaluation methods using GPU-accelerated simulation and potential real-robot experiments, with opportunities to contribute prototypes, patents, and publications.
Responsibilities
- Work closely with robotics and ML experts to scope a scientifically novel project aligned with NVIDIA's robotics roadmap.
- Design, implement, and evaluate new robot learning methods using GPU-accelerated simulation and, where appropriate, real robot hardware.
- Run rigorous experiments: build strong baselines, design evaluation protocols, ablate ideas, and communicate results clearly.
- Write clean, well-documented research code that others can build on.
- Collaborate with researchers and internal product teams to transfer research into NVIDIA products and platforms.
- Deliver results as prototypes, patents, product contributions, and publications at top-tier venues.
Qualifications
- Currently enrolled in a Ph.D. program in Computer Science, Electrical Engineering, Robotics, or a related field.
- Research experience in agentic policies, world action models, robot policy training and evaluation, or sim-to-real transfer, demonstrated via publications, preprints, a thesis, or open-source projects.
- Strong Python skills and hands-on development with a modern deep learning framework (e.g., PyTorch, JAX).
- Strong written and verbal communication skills, including presenting research results to both experts and non-experts.
Skills
Required:Python programmingDeep learning frameworksResearch communication
Last updated Oct 9, 2026. Interested? Apply on the company site.
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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