Role at a glance
- Salary
- $140K – $270.3K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 4+ years of programming experience in Python or equivalent
- Education
- B.S / B.Tech/M.S in Computer Science/Computer Engineering / Electronics & Telecommunication with strong academics or equivalent experience.
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Role Summary
The Sr. Software Automation and Tools Development Engineer will join NVIDIA’s GPU SWQA team to develop AI-assisted automation for device driver software and SDK testing across Windows and Linux. The role focuses on expanding GPU software test coverage, improving development and testing workflows, and identifying and resolving defects across products and interfaces.
What You'll Do
- Design and implement automated tests using AI technologies for NVIDIA device driver software and SDKs on Windows and Linux.
- Build Python-based tools, utilities, and frameworks to automate and optimize GPU testing workflows.
- Develop and execute automated and manual tests, analyze results, report defects, debug issues, determine root causes, and drive...
- Measure and analyze code coverage and drive coverage improvements.
- Develop and test applications and tools across products and interfaces, including validation across breadth-and-depth test matrices.
- Conduct peer code reviews and provide feedback on performance, scalability, and correctness.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requirements include a bachelor's or master's degree in a specified engineering or computer science field or equivalent experience, 4+ years of Python or equivalent programming experience, and experience with object-oriented programming, databases, storage technologies, operating systems, AI-driven test automation, and PC hardware. Candidates should also have communication, analytical, organizational, learning, and teamwork skills.
Required
- B.S., B.Tech., or M.S. in Computer Science, Computer Engineering, or Electronics & Telecommunication, or equivalent experience
- Strong academics
- 4+ years of programming experience in Python or equivalent
- Object-Oriented Programming concepts
- Working experience with SQL, MongoDB, and Elasticsearch
- Understanding of OS fundamentals and PC hardware, including Linux, Unix, and Windows
- Experience using AI tools to automate test cases and end-to-end QA workflow
- Good communication skills
Preferred
- Substantial experience with AI-driven automation
- Ability to work in a distributed team environment
- Development experience fixing regression bugs and implementing or enabling tests for CI/CD
- Good written communication skills
Original job description
Content provided by the employer
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
You will also be eligible for equity and benefits.
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.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.
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.