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

Overview

• 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.