Deep Learning Software Engineering Intern, Test Development - 2027

NVIDIA
Shanghai
Full timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Communication","Teamwork","Responsiveness","Thoroughness","Process improvement"]

Work in NVIDIA’s Deep Learning Software Quality Assurance team to define, develop, and execute tests validating the robustness and performance of Deep Learning software and GPU infrastructure. You’ll build and enhance test automation infrastructure using AI tools, collaborate with development teams on issue triage and root-cause analysis, and improve end-to-end QA workflows across NVIDIA AI software stack releases for AI scenarios like autonomous driving, healthcare, and speech/NLP.

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NVIDIA
NVIDIA
1 day ago

Deep Learning Software Engineering Intern, Test Development - 2027

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Last checked: 13 hours agoStatus: Live

Job Summary

Work in NVIDIA’s Deep Learning Software Quality Assurance team to define, develop, and execute tests validating the robustness and performance of Deep Learning software and GPU infrastructure. You’ll build and enhance test automation infrastructure using AI tools, collaborate with development teams on issue triage and root-cause analysis, and improve end-to-end QA workflows across NVIDIA AI software stack releases for AI scenarios like autonomous driving, healthcare, and speech/NLP.
Location: Shanghai
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Be responsible for functionality, compatibility, and performance testing in NVIDIA AI software stack releases.
  • •Develop, maintain, and improve test automation infrastructure using AI tools.
  • •Use AI to improve quality and productivity across the QA end-to-end workflow.
  • •Collaborate with development teams to triage issues, perform root cause analysis, verify fixes, and define new tests.
  • •Derive and improve complex test plans and continuously improve QA workflow processes for GPU computing platforms.

Key Requirements

  • •Pursuing an MS or higher degree in CS/EE/CE or a related field.
  • •Proven success using AI tools to significantly improve efficiency, streamline workflows, or enable process automation.
  • •Strong Python and C++ programming skills, plus Linux knowledge.
  • •Experience in software development with popular AI models (strong plus).
  • •Fluent English communication, with strong oral and written communication skills.
Experience:AIGPU computingDeep learning
Education:Master's in CS/EE/CE (or related field)
Skills:CommunicationTeamworkResponsivenessThoroughnessProcess improvement
Languages:English
Tech Stack:PythonC++LinuxAI toolsDeep neural networksDeep learning frameworksGPU computingCUDA

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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