Remote (City)

NVIDIA is hiring a GPU Computing Engineer - Autonomous Driving

Responsibilities

  • Analyze deep learning models to diagnose stability and performance issues in TensorRT reported by customers or internal groups.
  • Collaborate with a globally distributed engineering team across the US, Asia-Pacific, and India on CUDA and TensorRT development.
  • Derive feature requirements and frequently asked questions from technical analysis and development work, then produce clear documentation.

Team

Internationally distributed team with remote locations in US, APAC, and India

Other

  • Fluency in written and spoken English and Mandarin is required.
  • Proven ability to collaborate effectively in diverse, multi-site team environments.
  • Demonstrated strength in customer-facing communication with a commitment to timely, high-quality support.
Required Skills
CUDATensorRTCC++PythonPyTorchTorchGPU ComputingAutonomous DrivingParallel ProgrammingPerformance Optimization CUDATensorRTCC++PythonPyTorchTorchGPU ComputingAutonomous DrivingParallel ProgrammingPerformance Optimization
About company
NVIDIA
NVIDIA builds accelerated computing platforms and AI technologies that power advancements in areas such as generative AI, data centers, robotics, and digital twins.
All jobs at NVIDIA Visit website
Job Details
Category other
Posted 3 months ago