Nvidia Senior Software Test Development Engineer - Deep Learning 

China, Shanghai 

102077150

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, Perl, Bash) knowledge and UNIX/Linux experience.

• Good C/C++ software development or test development experience.

• Good user/development experiences of virtualization like VM & Docker container

• Excellent English written and oral communication skills.

• AI using/developing background like LLM

• Hardware devices test experience especially on driver/kernel

• Popular models training with Pytorch (like transformer, Bert, llama-2/3)

• Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules.

Ways to stand out from the crowd:

• Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, 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.

• Experience in VectorCAST, Bullseye, Gcov, or Coverity tools.

• Automation experience.