Deep Learning Software Engineering Intern, Test Development - 2027

NVIDIA

China, Shanghai · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

We are now looking for a Deep Learning Software Test Development Engineering 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 Deep Learning Software products, such as Edge-LLM, TensorRT, NVIDIA optimized Frameworks (E.g. TensorFlow, PyTorch, MxNET, etc.)
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.
Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.
What we need to see
Pursuing MS or higher degree in CS/EE/CE.
Scripting language (Python, Perl, bash), Linux knowledge is required.
Experiences in C/C++ programming is a plus.
Familiarity any Deep Learning Framework is a strong plus.
Good communication skills, fluent oral and written English.

Languages

Work format: On-site
Seniority: Intern
Posted: 21 Aug 2026
Last verified: In the last 5 days

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