Software QA Intern, Spark Rapids - 2027

NVIDIA
Shanghai
Workplace: OnsiteInternshipFunction: QA, Test & Release EngineeringEducation: mastersSkills: ["Communication","Teamwork","Responsiveness","Thoroughness","Issue triage"]

Join NVIDIA’s Deep Learning Software Quality Assurance team to build and improve GPU-focused test automation for optimized deep learning frameworks. You’ll develop test plans to validate functionality, compatibility, and performance, triage issues with development teams, perform root-cause analysis, and verify fixes. The role also includes web-based test automation infrastructure and testing support across major AI scenarios and GPU computing platforms.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NVIDIA
NVIDIA
2 days ago

Software QA Intern, Spark Rapids - 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

Job Summary

Join NVIDIA’s Deep Learning Software Quality Assurance team to build and improve GPU-focused test automation for optimized deep learning frameworks. You’ll develop test plans to validate functionality, compatibility, and performance, triage issues with development teams, perform root-cause analysis, and verify fixes. The role also includes web-based test automation infrastructure and testing support across major AI scenarios and GPU computing platforms.
Location: Shanghai
Workplace: Onsite
Employment Type: Internship
Job Function: QA, Test & Release Engineering
Seniority: Intern level

Key Responsibilities

  • •Improve GPU software testing and test automation for NVIDIA optimized deep learning frameworks and GPU workloads.
  • •Maintain and develop web-based test automation infrastructure.
  • •Execute functionality, compatibility, and performance testing for deep learning software stack releases.
  • •Work with development teams to triage issues, perform root cause analysis, verify fixes, and define new tests.
  • •Improve test plans and workflow processes for diverse GPU computing platforms.

Key Requirements

  • •Pursuing a Master’s degree or higher in CS/EE/CE (graduation in CY2028).
  • •Direct experience with Spark ETL and AI agent work.
  • •Hands-on experience with virtualization technologies such as VM, Docker containers, Kubernetes (k8s), and Slurm.
  • •Strong Python skills, including Flask, and Linux knowledge.
  • •Experience with C/C++/Java programming is a plus; familiarity with deep learning frameworks is a strong plus.
Experience:Deep learning
Education:Master's in CS/EE/CE
Skills:CommunicationTeamworkResponsivenessThoroughnessIssue triage
Languages:English
Tech Stack:PythonFlaskLinuxTensorFlowPyTorchPyGSPARK RAPIDSTAOSpark ETLDockerKubernetesK8sSlurmVMCC++JavaCUDA

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