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

We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Autonomous Vehicles

• Develop and train state-of-the-art Deep Neural Networks for path generation
• Collect training datasets and real-time inference run-times using simulators/gyms as well as perform 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