Gpu Computing Engineer - Autonomous Driving

Invidia

Shanghai, China
Fully remote
Cuda and tensorrt development
Deep learning frameworks like pytorch
C, c++ and python programming
NVIDIA is at the forefront of the AI-City and self-driving revolution providing powerful GPU-accelerated solutions

Job Summary

  • NVIDIA is at the forefront of the AI-City and self-driving revolution providing powerful GPU-accelerated solutions.
  • The role involves analyzing deep learning models and investigating TensorRT stability and performance issues reported by customers or internal teams.
  • The engineer will collaborate with internationally distributed teams across the US, APAC, and India to develop CUDA and TensorRT.

Matching Summary

NVIDIA is at the forefront of the AI-City and self-driving revolution providing powerful GPU-accelerated solutions.

Skills & Requirements

Must-have

  • CUDA and TensorRT development
  • Deep learning frameworks like PyTorch
  • C, C++ and Python programming
  • GPU-accelerated libraries
  • TensorRT stability and performance analysis
  • Bilingual communication in English and Mandarin

Nice-to-have

  • Strong customer communication skills
  • Ability to work in diverse international teams
  • Experience with inference networks and layers

Key Requirements

  • Bachelor or equivalent in Computer Science or Electrical Engineering
  • 3-5+ years related work experience
  • Master degree preferred
  • Strong written and verbal communication in English and Mandarin

Work Rights

Not specified

Tailored Resume

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