NVIDIA 2027 New College Graduate: Autonomous Vehicles and Robotics - China

NVIDIA is hiring a NVIDIA 2027 New College Graduate: Autonomous Vehicles and Robotics - China in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
Tools and skills the posting cites include PyTorch, TensorFlow and Keras.
Level classifies it as a junior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

New college graduate role focusing on developing and training deep neural networks and full-stack embodied AI for autonomous vehicles and robotics.

PyTorchTensorFlowKerasCCUDARosPythonOpenglLinuxIsaac SimOmniverseCosmos

deep-learningroboticssimulationautonomous-vehiclescomputer-vision

By submitting your resume, you’re expressing interest in in one of our 2027 Autonomous Vehicles and Robotics – New College Grad roles. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our new college graduate opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

We offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles and Robotics teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Potential NCG opportunities in this field include:

Autonomous Vehicles

Developing and training state-of-the-art Deep Neural Networks for path generation
Collecting training datasets and real-time inference run-times using simulators/gyms as well as performing in-vehicle tests

Robotics:

Embodied AI: Build and deploy full-stack embodied AI systems for dexterous manipulation, whole-body control, and sensorized human-robot interaction, leveraging NVIDIA Isaac, Omniverse, and Cosmos to bridge simulation and real-world deployment across industrial and everyday environments.
Simulation: Build and scale core simulation and training infrastructure on Isaac Sim and Isaac Lab, combining high-fidelity physics and GPU computing to accelerate sim-to-real transfer for next-generation humanoid robots.
Deployment: Integrate cutting-edge physical AI into NVIDIA's humanoid robot reference platform, bridging simulation and real-world deployment through full-stack perception, decision, and control pipelines, while collaborating across robotics, systems, and AI teams to solve system-level engineering challenges and deliver reliable performance in industrial and everyday applications.

What we need to see:

Expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
Programming skills and technologies: C, C++, CUDA, ROS, Python, OpenGL, Linux, Sensor Input Devices (LiDAR, cameras, radars), Training Frameworks (TensorFlow, Keras, PyTorch)
For Robotics role, hands-on experience with robot simulation platforms (Isaac Sim/Lab, MuJoCo, Gazebo) and deep learning frameworks (PyTorch, TensorFlow)
Proven track record in sim-to-real and real-to-sim transfer

How we rate this

NVIDIA 2027 New College Graduate: Autonomous Vehicles and Robotics - China at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

NVIDIA 2027 New College Graduate: Autonomous Vehicles and Robotics - China is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in China, Shanghai.
The job was posted on August 21, 2026.
Seniority: junior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningRoboticsSimulationAutonomous VehiclesComputer visionPyTorchTensorFlowKeras

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where simulation was part of your work. What did you do?
Tell me about a project where autonomous vehicles was part of your work. What did you do?
Walk me through a computer vision problem you solved, from raw data to a deployed model.

Adapt your resume

List these exact terms on your resume: Deep learning, Robotics, Simulation, Autonomous Vehicles, and Computer vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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