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

NVIDIA
Shanghai, Shenzhen, Beijing
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Strategic","Ambitious","Hard-working","Creative","Passionate"]

Join NVIDIA’s 2027 Autonomous Vehicles and Robotics new college graduate opportunities, supporting teams working on AI and digital twins. You’ll develop deep neural networks for path generation and collect dataset and inference run-time results using simulators and in-vehicle testing, or build embodied AI systems and scalable simulation/training infrastructure for sim-to-real robotics deployment. Recruiters will review resumes on an ongoing basis.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Join NVIDIA’s 2027 Autonomous Vehicles and Robotics new college graduate opportunities, supporting teams working on AI and digital twins. You’ll develop deep neural networks for path generation and collect dataset and inference run-time results using simulators and in-vehicle testing, or build embodied AI systems and scalable simulation/training infrastructure for sim-to-real robotics deployment. Recruiters will review resumes on an ongoing basis.
Location: Shanghai, Shenzhen, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Graduate level

Key Responsibilities

  • •Develop and train deep neural networks for autonomous vehicle path generation.
  • •Collect training datasets and real-time inference run-times using simulators/gyms and support in-vehicle tests.
  • •Build and deploy full-stack embodied AI systems for dexterous manipulation, whole-body control, and sensorized human-robot interaction.
  • •Build and scale simulation and training infrastructure on Isaac Sim and Isaac Lab to accelerate sim-to-real transfer.
  • •Integrate physical AI into NVIDIA’s humanoid robot reference platform across perception, decision, and control pipelines.

Key Requirements

  • •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 including C, C++, CUDA, ROS, Python, OpenGL, and Linux.
  • •Experience with sensor input devices such as LiDAR, cameras, and radars.
  • •Training frameworks such as TensorFlow, Keras, and PyTorch.
  • •For robotics: hands-on experience with robot simulation platforms (Isaac Sim/Lab, MuJoCo, Gazebo) and sim-to-real/real-to-sim transfer.
Education:
Skills:StrategicAmbitiousHard-workingCreativePassionate
Tech Stack:CC++CUDAROSPythonOpenGLLinuxLiDARTensorFlowKerasPyTorchIsaacOmniverseCosmosIsaac SimIsaac LabMuJoCoGazebo

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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