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