You need a PhD in robotics, computer science, or related field with research experience in vehicle autonomy, published work, strong programming skills, and knowledge of ML frameworks to intern with us in 2024.

You will design and implement advanced autonomy techniques, publish research, collaborate with teams, and transfer technology for autonomous vehicles at NVIDIA.

Research & Development

Software Engineering

United States

Santa Clara

Large

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Manufacturing & Electronics

NVIDIA

<ul><li><span style="background-color: transparent;">We are now recruiting top Research Interns (Autonomous Vehicle Research)! </span>AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Remove the traditional barriers among perception, prediction, and planning in order to improve overall system performance? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?</li><li>These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, ranging from perception and prediction to planning and control, as well as critical related areas such as decision making under uncertainty, deep learning, reinforcement learning, and the verification and validation of safety-critical AI systems. Our focus is on basic research; lab members are encouraged to publish their work and open-source code. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.</li></ul>

Currently Studying

We are now recruiting top Research Interns (Autonomous Vehicle Research)! AI-powered autonomous vehicles that can learn, reason, and interact with people are no longer science fiction. Self-driving cars, autonomous delivery vehicles, and autonomous construction vehicles, among others, are getting increasingly close to widespread deployment. However, fundamental research questions still need to be addressed for us to achieve full vehicle autonomy. For instance, how can we: Remove the traditional barriers among perception, prediction, and planning in order to improve overall system performance? Equip autonomous vehicles with online and offline assurances that meet the standards for safety-critical systems? Ensure that autonomous vehicles work seamlessly in new places?These are some of the exciting questions that the NVIDIA Autonomous Vehicle Research group is tackling. We bring together a diverse, interdisciplinary research team working on core topics in vehicle autonomy, ranging from perception and prediction to planning and control, as well as critical related areas such as decision making under uncertainty, deep learning, reinforcement learning, and the verification and validation of safety-critical AI systems. Our focus is on basic research; lab members are encouraged to publish their work and open-source code. NVIDIA is well known for its team culture, and lab researchers are able to closely interact with others within the company who are experts in perception systems, machine learning, and robotics. There is an opportunity to make a strong impact on products, while having the freedom and bandwidth to conduct ground-breaking publishable research.

PhD Research Intern, Autonomous Vehicles - 2024

Requirements

Responsibilities

NVIDIA

Mission & Purpose