Nvidia Software QA Test Dev Engineer 

United States, California 

639333481

What you’ll be doing:

• Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Windows and Linux operating systems.

• Buildtools/utility/frameworkin Python / C / C++ which would help automate and optimize the testing workflows in GPU domain . Develop and implement automated and manual tests, analyze results, identify and report defects.

• Rigorously drive test automation initiative. Build innovative ways to automate and expand our software testing.

• Expose defects and constraints; Isolate and debug the issue(s) and find the root cause; Contribute to the solution and drive to closure. Measure code coverage for the software under test, analyze and drive code coverage enhancements.

• Develop applications and tools that accelerate development and test workflows and write fast, effective, maintainable, reliable and well documented code. Generate and test compatibility across a range of products and interfaces and validate different key software applications across a test matrix designed to test both breadth and depth.

• Provide peer code reviews including feedback on performance, scalability and correctness.

• Effectively estimate and prioritize tasks in order to create a realistic delivery schedule.

• You will have the opportunity to work on challenging technical and process issues and work closely with leadership to report progress, generating effective and actionable reports.

• This is an onsite position located at the Santa Clara HQ office.

What we need to see:

• B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.

• 5+ years of programming experience in Python/C/C++ with experience in applying Object-Oriented Programming concepts.

• Hands-on knowledge of developing Python scripts with application development concepts like dictionaries, tuples, RegEx, PIP etc.

• Working experience with databases and storage technologies like SQL, MongoDB and Elasticsearch.

• Good understanding of OS fundamentals, PC Hardware fine-tuning in those areas

• Good Communication skills (interpersonal and across teams).

• Excellent analytical and problem-solving skills.

• Very organized, proactive, and has good learning ability.

• The ability to work with a team of engineers in a fast-paced environment

Ways to stand out from the crowd:

• Good problem-solving skills (solid logic to apply in isolation and regression of issues found).

• Substantial experience with AI-driven automation

• Ability to work in a distributed team environment.

• Good written communications skills are crucial.