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Software QA Intern, Spark Rapids - 2027

NVIDIA· Intern
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Shanghai, ChinainternPosted 2mo ago

About the role

Deep Learning Software QA Engineer Intern in NVIDIA’s Deep Learning Software Quality Assurance team, focusing on testing and validating NVIDIA’s DL software and GPU infrastructure for AI workloads and autonomous driving, healthcare, NLP, and more.

Responsibilities

  • GPU Software testing and test automation improvement for NVIDIA optimized Deep Learning Frameworks (e.g. TensorFlow, PyTorch, PyG) and workloads running on GPU (e.g. SPARK RAPIDS, TAO)
  • Maintain & develop test automation infrastructure (web based)
  • Be responsible for functionality, compatibility, and performance tests in DL SW stack release
  • Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, improve test plans
  • Web service developing

Qualifications

  • Pursuing Master or higher degree in CS/EE/CE (Graduation in CY2028)
  • Direct Spark ETL and AI Agent experience
  • Good user/development experience of virtualization like VM & Docker container & k8s & Slurm
  • Good python skillset, know Flask, Linux knowledge is required
  • Experiences in C/C++/Java programming is a plus
  • Familiarity with any Deep Learning Framework is a strong plus
  • Good communication skills, fluent oral and written English

Skills

Required:PythonFlaskLinuxDocker
Nice to have:Kubernetes (k8s)C/C++/Java

Benefits

  • Competitive salaries
  • Comprehensive benefits package
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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