Senior AI-Powered GPU QA Automation & Tools Engineer

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 170,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Sr. Software Automation and Tools Development Engineer to join the GPU SWQA team in Santa Clara, CA. You will design AI-enabled automated tests for device driver software and SDKs on Windows and Linux, build Python-based tools, and drive test automation across a broad matrix.

The role emphasizes strong OS, PC hardware, and I/O knowledge, plus collaboration in a fast-paced, onsite environment with equity and benefits offerings.

Qualifications

• Degree in computer science, computer engineering, or electronics & telecom or equivalent experience.
• Minimum 4+ years programming in Python with OOP concepts.
• Experience with databases (SQL, MongoDB, Elasticsearch) and storage tech.
• Strong OS fundamentals on Linux/Unix/Windows and PC hardware tuning.
• Experience applying AI tools to automate test cases and QA workflows.
• Excellent communication, analytical, and problem-solving skills.

Responsibilities

• Design and implement automated tests using AI for NVIDIA device driver software and SDKs on Windows and Linux.
• Build tools and frameworks in Python to automate and optimize GPU testing workflows.
• Develop automated and manual tests, analyze results, and report defects to closure.
• Measure and improve code coverage; drive coverage enhancements.
• Create tools to accelerate development and testing across a test matrix.
• Provide peer code reviews focusing on performance, scalability, and correctness.
• Estimate and prioritize tasks to create realistic delivery schedules.

Skills

Python programming

Object-oriented design

AI-driven automation

Team collaboration

Analytical problem-solving

Code reviews

Task prioritization

Learning ability

Education

B.S./B.Tech/M.S. in CS/CE/EE

Tools

SQL

MongoDB

Elasticsearch

Linux

Windows

Job description

NVIDIA is seeking a Sr. Software Automation and Tools Development Engineer to join the GPU SWQA team in Santa Clara, CA. You will design AI-enabled automated tests for device driver software and SDKs on Windows and Linux, build Python-based tools, and drive test automation across a broad matrix.

The role emphasizes strong OS, PC hardware, and I/O knowledge, plus collaboration in a fast-paced, onsite environment with equity and benefits offerings.