We are seeking a qualified Software Tools Development Engineer to join our GPU SWQA team. The successful candidate will demonstrate substantial experience with AI technologies for automation of test cases, as well as an in-depth understanding of Linux operating systems. Comprehensive knowledge of system architecture is essential, along with a strong command of PC I/O architecture and common bus interfaces, including PCI-E, USB, and SATA. Familiarity with specifications pertaining to general PC-Architecture components will be regarded as a valuable asset.

What you'll be doing:

Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on various Linux operating systems.
Build tools/utility/framework in Python or equivalent 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 a fully onsite position.

What we need to see:

B.S / B.Tech/M.S in Computer Science / Electronics & Telecommunication with strong academics or equivalent experience.
3+ years of programming experience in Python or equivalent 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 (Linux, Unix, Windows)
Experience using AI tools to automate test cases as well as end-to-end QA workflow.
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) and good written communications skills
Substantial experience with AI-driven automation
Ability to work in a distributed team environment
Development experience capable of fixing regression bugs , implementing/enabling test for CI/CD