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NVIDIA • Shanghai, Shanghai
Role & seniority: Software Test Development Engineer (Senior level) in NVIDIA’s Deep Learning SWQA team; 5+ years in software quality assurance or test automation.
Stack/tools: Python, Perl, Bash; UNIX/Linux; C/C++ development; virtualization (VMs, Docker); test infrastructure and automation; AI tools; CUDA and CUDA libraries; LLM inference frameworks (e.g., TRT-LLM, vLLM, SGLang); testing tools (VectorCAST, Bullseye, Gcov, Coverity).
Plan/design/execute/report/automate test plans, test cases, and test reports; own product quality with cross-functional teams.
Manage bug lifecycle and drive cross-group solutions; collaborate to improve workflows.
Automate test cases, contribute to architecture of test frameworks, reproduce/verify customer issues, and leverage AI-powered tools to boost efficiency.
BS+ in CS/EE/CE or equivalent; 5+ years in SQA or test automation; strong analysis skills.
Scripting (Python, Perl, Bash) and UNIX/Linux experience; C/C++ development; virtualization experience (VM/Docker).
Excellent English communication; ability to manage changing priorities; AI tools experience.
Familiarity with NVIDIA GPU hardware (Tesla, Tegra, DGX); CUDA/CUDA libraries; experience with VectorCAST, Bullseye, Gcov, Coverity.
Automation experience; experience with LLM inference frameworks and running AI workloads; proven use of AI tools to improve efficiency.
Location & work type: L
We are looking for a Software Test development engineer in NVIDIA’s Deep Learning SWQA team. 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. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! What you’ll be doing: Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. Plan/design/execute/report/automate test plan/test case/test reports. Manage bug lifecycle and co-work with inter-groups to drive for solutions. Automate test cases and assist in the architecture, crafting and implementing of test frameworks. In-house repro and verify customer issues/fixes. 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: BS or higher degree in CS/EE/CE or equivalent experience. 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills. Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience. Good C/C++ software development, DevOps or test development experience. Good user/development experiences of virtualization like VM & Docker container. Excellent English written and oral communication skills. Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules. Experience with AI tools. Ways to stand out from the crowd: Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc). Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning. Experience in VectorCAST, Bullseye, Gcov, or Coverity tools. Automation experience. Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) and familiar with running various AI workloads, proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation. #deeplearning NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.