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Software QA Intern, Spark Rapids - 2027
NVIDIA
China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
We are now looking for a Deep Learning Software QA Engineer Intern! The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios.
Responsibilities
- GPU Software testing and test automation improvement for NVIDIA optimized Deep Learning Frameworks (E.g. TensorFlow, PyTorch, PyG, etc.) and workloading running on GPU (E.g. SPARK RAPIDS, TAO, etc.)
- 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
- What we need to see
- 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.
Languages
- Work format
- On-site
- Seniority
- Intern
- Posted
- 20 Aug 2026
- Last verified
- In the last 5 days
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