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

**Company**: NVIDIA
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/NVIDIA-2027-New-College-Graduate--Autonomous-Vehicles-and-Robotics---China_JR2024109?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d3db8af0-662

## Description

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

## Skills

### Required
- C
- C++
- CUDA
- ROS
- Python
- OpenGL
- Linux
- LiDAR
- cameras
- radars
- TensorFlow
- Keras
- PyTorch

### Nice to have
- Isaac Sim/Lab
- MuJoCo
- Gazebo

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/NVIDIA-2027-New-College-Graduate--Autonomous-Vehicles-and-Robotics---China_JR2024109?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)