Nvidia Senior Software Test Development Engineer - Deep Learning 

United States, California 

345777727

What you’ll be doing:

• Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality.

• Plan/design/implement/report/automatetest plan/test case/test reports.

• Run bug lifecycle and co-work with inter-groups to work towards 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 in CS/EE/CE or equivalent experience.

• 4+ 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.

• Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios.

• Experience in validating Deep Learning software and Deep Learning models.

• Experience in using AI development tools for test plans creation, test cases development and test cases automation.

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

• Excellent English written and oral communication skills.

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 building models and AI-based infrastructure to improve test automation.

• Background in validating Data Center GPU based infrastructure (multi-GPUS, multi-nodes, cluster).

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