2027 New College Graduate: Autonomous Vehicles and Robotics
NVIDIA· Engineer, Sys SW
Hybrid (China (Shanghai/Beijing/Shenzhen))full-timePosted 2mo ago
About the role
NVIDIA 2027 New College Graduate roles in Autonomous Vehicles and Robotics (China). Openings for 2027 graduates in Autonomous Vehicles and Robotics, with opportunities to work on deep neural networks for path generation, embodied AI, simulation, and deployment across NVIDIA’s robotics platforms. On-site in China (Shanghai, Beijing, Shenzhen).
Responsibilities
- 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
- 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 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
Qualifications
- 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
Skills
Required:CC++CUDAROSPythonLinuxLiDARCamerasRadarsTensorFlowPyTorchIsaac Sim/Lab
Nice to have:OpenGLKerasMuJoCoGazebo
Last updated Aug 21, 2026. Interested? Apply on the company site.
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