Description
We are now recruiting top Research Scientists to work on autonomous vehicles, robotics, and physical AI at NVIDIA's Autonomous Systems and Physical AI Research (ASPIRE) group.
Intelligent machines that can perceive, reason, and safely interact with people and the physical world are rapidly becoming a reality. Self-driving cars, autonomous delivery and construction vehicles, mobile manipulators, and other robotic systems are moving closer to widespread deployment. However, fundamental research challenges remain before these systems can operate safely, reliably, and autonomously in complex, unfamiliar environments.
The ASPIRE group conducts foundational research spanning foundation model design, embodied reasoning, safety, closed-loop training and evaluation, and agentic workflows for Physical AI development. We also investigate related areas including decision-making under uncertainty, deep learning, reinforcement learning, simulation, and the verification and validation of safety-critical AI systems.
Responsibilities
- Designing and implementing cutting-edge techniques for autonomous vehicles, robotics, and physical AI.
- Conducting original research and publishing your results.
- Collaborating with research colleagues, internal product teams, and external researchers.
- Transferring technology you've developed to relevant product groups.
Requirements
- Completing or recently completed a PhD in 2026 in Robotics, Computer Science, Computer Engineering or a related field.
- Relevant research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
- Strong knowledge of the theory and practice of vehicle or robot autonomy,or expertise in a related area, with a strong interest in applying your work to autonomous systems.
- A track record of research excellence, demonstrated through publications at leading conferences and journals,and through other research artifacts such as open-source software.
- Exceptional Python programming skills; experience with C++ and parallel programming, such as CUDA, is a plus.
- Experience with machine learning frameworks such as PyTorch.
- Strong communication and interpersonal skills are required, along with the ability to thrive in a dynamic, research-focused team.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits.