Deep Learning Software Engineering Intern, Test Development - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Teamwork","Responsiveness","Thoroughness","Efficiency improvement"]

Work in NVIDIA Deep Learning Software Quality Assurance to build and improve GPU software tests and test automation for Deep Learning releases. Own functionality, compatibility, and performance testing across the DL software stack (including products such as Edge-LLM and TensorRT) and partner with development teams for triage, root-cause analysis, and fix verification. Leverage AI-powered tools for test planning, defect detection, and workflow efficiency improvements.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
2 days ago

Deep Learning Software Engineering Intern, Test Development - 2027

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 3 days ago

Job Summary

Work in NVIDIA Deep Learning Software Quality Assurance to build and improve GPU software tests and test automation for Deep Learning releases. Own functionality, compatibility, and performance testing across the DL software stack (including products such as Edge-LLM and TensorRT) and partner with development teams for triage, root-cause analysis, and fix verification. Leverage AI-powered tools for test planning, defect detection, and workflow efficiency improvements.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Improve GPU software testing and test automation for NVIDIA Deep Learning software products.
  • •Perform functionality, compatibility, and performance tests in DL software stack releases.
  • •Collaborate with development teams to triage issues and conduct root-cause analysis.
  • •Verify fixes, define new tests, and improve test plans.
  • •Use AI-powered tools to generate test artifacts, detect defects, and assist day to day with bug fixing.

Key Requirements

  • •Pursuing an MS or higher degree in CS/EE/CE.
  • •Strong scripting skills with Python, Perl, and/or bash.
  • •Required Linux knowledge.
  • •Experience with C/C++ programming (a plus).
  • •Familiarity with deep learning frameworks and AI tools (strong plus).
Experience:Deep learningAIGPU computing
Education:Master's
Skills:CommunicationTeamworkResponsivenessThoroughnessEfficiency improvement
Languages:English
Tech Stack:PythonPerlBashLinuxCC++TensorFlowPyTorchMxNETEdge-LLMTensorRTCUDAAI tools

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
WebsiteLinkedInGlassdoor