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NVIDIA

GPU Computing Software Engineering Intern, Autonomous Driving

NVIDIA

. Analyze GPU computing issues and write test code for them .

Posted 10/21/2026full-timeShanghai • ChinaEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in GPU computing, including proficiency in C, C++, and Python programming, along with strong knowledge of deep learning frameworks such as PyTorch. Capable of analyzing complex issues and providing AI solutions for advanced applications in self-driving cars and AI-City environments.

Highest-signal resume keywords
GPU Computing ExpertiseC/C++ Programming SkillsDeep Learning Frameworks (PyTorch)NVIDIA GPU Hardware FamiliarityLinux OS Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
C ProgrammingC++ ProgrammingPython ProgrammingLinux Shell ScriptingMakefile KnowledgeDeep LearningInference NetworksCUDA ProgrammingCUDA-X LibrariesGPU Computing
Soft Skills
Documentation SkillsEnglish Reading and Writing Skills
Tools & Technologies
NVIDIA TeslaNVIDIA JetsonNVIDIA DGXPyTorch
Industry Keywords
AI SolutionsSelf-Driving CarsAI-City Applications

Tech Stack

Tools & technologies
LinuxPythonPyTorchC++

About the role

Key responsibilities & impact
  • Analyze GPU computing issues and write test code for them
  • Write documentation about issue analyses
  • Provide powerful AI solutions for self-driving cars and AI-City applications using GPU-accelerated libraries

Requirements

What you’ll need
  • Pursuing BS or higher degree in CS/EE/CE or equivalent
  • Good programming experience on Linux OS
  • Good programming skills in C and C++; Python is a plus
  • Strong knowledge of Linux Shell and Makefile
  • Knowledge of popular inference networks and deep learning layers
  • Experience with the deep learning PyTorch framework
  • Good reading and writing skills in English
  • Familiarity with NVIDIA GPU hardware products (Tesla, Jetson, DGX, etc.)
  • Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA-X libraries for deep learning, especially CUDA

Benefits

Comp & perks
  • Equal opportunity employer
  • Reasonable accommodation for individuals with disabilities during the application or interview process, performance of essential job functions, and receipt of employment benefits and privileges