Nvidia Senior Software Test Development Engineer - Deep Learning 

China, Shanghai 

462917198

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/automatetest 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.

What we need to see:

• BS or higher degree in CS/EE/CE or equivalent.
• 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills.
• Scripting language (Python, Bash) knowledge and UNIX/Linux experience.
• Good Python software development or test development experience.
• Good user/development experience of virtualization like VM & Docker container & k8s
• Excellent English written and oral communication skills.
• LLMuser/developing/training/inferenceexperience is must like GPT, Llama
• Nvidia inference framework like TensorRT and Triton direct use/develop experience is must
• Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules.
• Proven success in leveraging AI (development) tools to significantly improve efficiency, streamline workflows, enhance process automation, create test cases and increase code coverage.
• Experienced on AI tools for coding (like Cursor, Gemini, NotebookLM)

Ways to stand out from the crowd:

• Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc.)
• Understanding public cloud usage (AWS, GCP, Azure, etc.)
• Understanding and working knowledge with any Deep Learning Framework especially in end-to-end customer scenarios.
• Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning like cuDNN
• Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.