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PhD Research Intern, Autonomous Vehicles - 2026 Job Opening In Remote – Now Hiring Nvidia


Job description



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: Enable novel training paradigms that leverage perception to train AV policies in closed-loop?

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.







What you'll be doing:

+ Designing and implementing cutting-edge techniques in the field of vehicle autonomy.

+ Publishing your original research.

+ Collaborating with other research team members, a diverse set of internal product teams, and external researchers.

+ Transferring technology you've developed to relevant product groups.











What we need to see:

+ Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.

+ Relevant research experience in the field of vehicle / robot autonomy.

+ 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) are a plus.

+ Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.

+ Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.











Are you dedicated, upbeat and dynamic with excellent analytical ability?

Are you an engineer passionate and highly motivated about solving complex problems?

If so, you may be a perfect fit for NVIDIA!

















Required Skill Profession

Other General


  • Job Details

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Unlock Your PhD Research Potential: Insight & Career Growth Guide


Real-time PhD Research Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for PhD Research in Remote, Singapore, highlighting market share and opportunities for professionals in PhD Research roles.

2701 Jobs in Singapore
2701
4 Jobs in Remote
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Are You Looking for PhD Research Intern, Autonomous Vehicles 2026 Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Nvidia adheres to the cultural norms as outlined by Expertini.

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2. Loyalty

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7. Obeying Singapore laws and regulations

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Nvidia interview tips for PhD Research Intern, Autonomous Vehicles   2026

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