About the role#
The Autonomous Systems and Physical AI Research group focuses on building intelligent machines that perceive, reason, and interact with the physical world. We explore fundamental research challenges in robotics and autonomous vehicles, including closed-loop training, embodied reasoning, and safety-critical AI. This role offers the opportunity to conduct original research and influence real-world products while working alongside experts in perception, simulation, and machine learning.
What you'll do#
- Design and implement new techniques for autonomous vehicles, robotics, and physical AI.
- Conduct original research and publish your findings.
- Collaborate with research colleagues, external researchers, and internal product teams.
- Transfer developed technology to relevant product groups.
What you'll need#
- Current enrollment in a PhD program for Robotics, Computer Science, Computer Engineering, or a related field.
- Research experience in autonomous vehicles, robotics, embodied AI, or autonomous systems.
- Strong knowledge of the theory and practice of vehicle or robot autonomy.
- A track record of research excellence demonstrated through publications at leading conferences and journals.
- Exceptional Python programming skills.
- Experience with machine learning frameworks like PyTorch.
- Strong communication and interpersonal skills.
- Experience with C++ and parallel programming such as CUDA is a plus.
Location & details#
- Location: Santa Clara, California.
- Employment type: Full-time.
- Modality: On-site.
- Compensation: 38 USD to 94 USD per hour, depending on experience and education.
- Term: Rolling.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
