NVIDIA 2026 Autonomous Vehicles and Robotics In...
@ NVIDIA

Beijing, Beijing, China
$30,000
On Site
Full Time
Posted 1 day ago

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About NVIDIA 2026 Autonomous Vehicles and Robotics Internships China

By submitting your resume, you express interest in one of our 2026 Autonomous Vehicles and Robotics Internships. Resumes are reviewed on an ongoing basis and a recruiter may contact you if your experience fits an available internship.

About NVIDIA

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming industries from gaming to robotics, self-driving cars to healthcare, climate change to virtual worlds.

Internship Opportunities

Our internships offer hands-on experience with leading Autonomous Vehicles and Robotics teams. We are seeking strategic, ambitious, hard-working, and creative individuals.

Autonomous Vehicles

  • Develop and train state-of-the-art Deep Neural Networks for path generation.
  • Collect training datasets and analyze real-time inference run-times using simulators and in-vehicle tests.
  • Relevant courses or internship experiences: Computer Vision, Mapping, Localization, SLAM, Image Processing, Segmentation.

Robotics

  • Build infrastructure and software platforms powering robotics applications with Isaac.
  • Relevant courses or internship experiences: Robotics, Autonomous Vehicles, Deep Learning Validation, Operating Systems, Data Structures, Physics Simulation, Simulators, Computer Graphics, Version Control, Computer Vision, Cloud Technologies.

What We Need To See

Applicants must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field for the duration of the internship.

Depending on the role, familiarity with programming skills and technologies is required, including C, C++, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), and Training Frameworks (TensorFlow, Keras, PyTorch).

Additional Information

Click the provided link to learn more about NVIDIA, our early talent programs, student benefits, resources, and the latest technologies and endeavors.

Key skills/competency

Autonomous, Robotics, Deep Learning, Simulation, Computer Vision, C++, Python, CUDA, ROS, Linux

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How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant technical projects and coursework.
  • Research NVIDIA: Study their mission, technologies, and culture.
  • Tailor your application: Emphasize skills in C, CUDA, and Python.
  • Prepare for interviews: Practice technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Practice C/C++ and CUDA coding.
Review ROS and Linux system fundamentals.
Study deep neural networks and simulation tools.
Familiarize with sensor and training frameworks.

Behavioral Questions

Describe a challenging project experience.
Explain time management in work scenarios.
Discuss teamwork in multi-discipline projects.
Share problem-solving approaches under stress.

Frequently Asked Questions