Expert Software Quality Assurance Engineer for Deep Learning

4 weeks ago

Shanghai, Shanghai, China NVIDIA Full time

We are seeking a skilled Expert Software Quality Assurance Engineer to join NVIDIA's Deep Learning SWQA team.

This position is part of the 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. The 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. As an expert in software quality assurance, you will 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.

Responsibilities:

  • Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality.
  • Plan, design, execute, report and automate test plans, test cases and test reports.
  • Manage bug lifecycle and co-work with inter-groups to drive solutions.
  • Automate test cases and assist in the architecture, crafting and implementing of test frameworks.
  • In-house reproduce and verify customer issues/fixes.

Requirements:

  • Bachelor's degree or higher in Computer Science, Electrical Engineering, Computer Engineering 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 or test development experience.
  • Experience with virtualization technologies like VM and Docker containers.
  • Excellent English written and oral communication skills.
  • Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules.

Preferred Qualifications:

  • 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 with VectorCAST, Bullseye, Gcov, or Coverity tools.
  • Automation experience.

Compensation and Benefits:

The estimated salary for this position is $120,000 - $180,000 per year, depending on experience. We offer a comprehensive benefits package, including medical, dental and vision insurance, 401(k) matching, and generous paid time off.

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