Senior Automation and Tools Development Engineer

NVIDIA•Us, CA

1d•Onsite

About The Position

We are seeking a qualified Sr. Software Automation and 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 Windows and 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.

Requirements

B.S / B.Tech/M.S in Computer Science/Computer Engineering / Electronics & Telecommunication with strong academics or equivalent experience.
4+ years of programming experience in Python or equivalent with experience in applying Object-Oriented Programming concepts
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

Nice To Haves

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

Responsibilities

Design and implement automated tests incorporating AI technologies for NVIDIA's device driver software and SDKs on Windows and Linux operating systems.
Build tools, utilities, and frameworks in Python or equivalent to automate and optimize testing workflows in the GPU domain, and rigorously drive test automation initiatives through innovative approaches to expand software testing.
Develop and implement automated and manual tests, analyze results, identify and report defects; expose defects and constraints, isolate and debug issues, determine root cause, and contribute to solutions, driving them to closure.
Measure code coverage for the software under test, analyze results, and drive code coverage enhancements.
Develop applications and tools that accelerate development and test workflows, writing fast, effective, maintainable, reliable, and well-documented code; generate and test compatibility across a range of products and interfaces, validating key software applications across a test matrix designed for both breadth and depth.
Provide peer code reviews, including feedback on performance, scalability, and correctness.
Effectively estimate and prioritize tasks to create realistic delivery schedules.
Work on challenging technical and process issues, collaborating closely with leadership to report progress and generate effective, actionable reports; this is a fully onsite position.