Senior Research Scientist - Autonomous Vehicles

About the role

NVIDIA's Autonomous Vehicle Research group is looking for a Senior Research Scientist to tackle fundamental questions needed for full vehicle autonomy, such as closed-loop training with simulation, safety assurances for autonomous vehicles and seamless operation in new environments. The group works on agent behavior models, end-to-end AV architectures, AI safety, closed-loop training approaches and AV foundation models, and encourages publication and open-source code.

Key responsibilities

• Design and implement cutting-edge techniques in vehicle autonomy.
• Publish and present original research at conferences and events.
• Collaborate with research team members, internal product teams and external researchers.
• Transfer and/or open-source developed technology to product groups.
• Work closely with product teams to turn research results into production-level systems.

Required profile

• Ph.D. in Computer Science/Engineering, Electrical Engineering or a related field (or equivalent experience).
• 6+ years of research experience in vehicle or robot autonomy.
• Track record of publications in top venues such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC and similar, plus research artifacts like software projects.
• Strong collaboration and communication skills, and ability to work in a dynamic, research-focused team.

Required skills

• Exceptional programming in Python; C++ and parallel programming (e.g., CUDA)
• Solid understanding of machine learning frameworks such as PyTorch and TensorFlow