We are looking for a Senior 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.

• Design test strategies, optimize test plan for DL features.

• Manage bug lifecycle and co-work with inter-groups to drive for solutions.

• Code coverage analysis to improve test coverage.

• Automate test cases and assist in the architecture, crafting and implementing of test frameworks.

• In-house reproduce, verify, analyze customer issues/fixes.

What we need to see:

• BS or higher degree in CS/EE/CE or equivalent experience.

• 5+ years of software development or test development project experience and strong analysis skills.

• Good C/C++, and Python programming skills.

• Excellent English written and oral communication skills.

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

Ways to stand out from the crowd:

• 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.