NVIDIA

NVIDIA

Posted via Workday

Senior Automation and Tools Development Engineer

Apply by Nov 1, 2026

Posted Aug 25, 2026

Role at a glance

Salary
Not Disclosed
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Senior Level
Education
B.S / B.Tech/M.S in Computer Science/Computer Engineering / Electronics & Telecommunication with strong academics or equivalent...

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Role Summary

AI-generated

The Senior Automation and Tools Development Engineer works on the GPU SWQA team, developing and testing automation for device driver software and SDKs on Windows and Linux. The role also develops tools and frameworks to support testing and development workflows.

What You'll Do

  • Design and implement automated tests using AI technologies for device driver software and SDKs on Windows and Linux.
  • Build tools, utilities, and frameworks in Python or equivalent to automate and optimize GPU testing workflows.
  • Develop automated and manual tests, analyze results, report defects, debug issues, determine root causes, and contribute to solutions.
  • Measure code coverage, analyze results, and drive coverage enhancements.
  • Develop tools and applications for development and test workflows, and validate software applications and compatibility across products...
  • Conduct peer code reviews, estimate and prioritize tasks, collaborate with leadership, and report progress.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires a B.S., B.Tech, or M.S. in a listed field with strong academics, or equivalent experience; 4+ years of programming experience in Python or equivalent with Object-Oriented Programming; working experience with SQL, MongoDB, and Elasticsearch; understanding of OS fundamentals and PC hardware in Linux, Unix, and Windows; and experience using AI tools for test-case and end-to-end QA workflow automation. Also seeks strong communication, analytical and problem-solving skills, organization, initiative, learning ability, and teamwork.

Preferred

  • 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

Original job description

Content provided by the employer

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.

What you’ll be doing:

  • 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.

What we need to see:

  • 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

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 USD - 224,250 USD for Level 3, and 168,000 USD - 270,250 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.