NVIDIA is seeking to address fundamental research questions in autonomous vehicle autonomy to enable widespread deployment of self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles. This includes enabling novel training paradigms, equipping vehicles with safety assurances, and ensuring seamless operation in new environments.
Requirements
- Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
- A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects
- Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA).
- Solid understanding of common machine learning frameworks such as PyTorch and Tensorflow.
Responsibilities
- Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
- Publish and present your original research, speak at conferences and events.
- Collaborate with other research team members, a diverse set of internal product teams, and external researchers.
- Have a broader impact through the transfer and/or open-source of the technology you've developed to relevant product groups.
- Collaborate closely with product teams to transfer research results into high-end, production-level systems.
Other
- Ph.D. in Computer Science/Engineering, Electrical Engineering, or a related field (or equivalent experience).
- 6+ years of relevant research experience in the field of vehicle / robot autonomy.
- Excellent collaboration and interpersonal skills
- Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.
- Applications for this job will be accepted at least until October 11, 2025.
