Apply AI assisted tools to analyze test runs and validate conclusions against source logs and engineering decisions.
What we need to see
A BS or MS in Engineering, Computer Science, or a related field, or equivalent experience, with 8+ years experience in software quality, test automation, or software development and validation.
Experience solving Linux and Windows system issues; development using scripting and programming languages such as Python, C, C++, CUDA, or Bash; and debugging across hardware, firmware, operating system, driver, and application layers.
Knowledge of Quality Assurance methodology, risk based test planning, functional validation, regression strategy, release readiness, CI/CD, API integrations, log analysis, root cause isolation, and defect triage.
Strong communication and teamwork skills are essential for explaining release risk and clarifying ownership, dependencies, and blockers.
Ways to stand out from the crowd
Experience with NVIDIA GPU hardware, CUDA, PCIe-based GPUs built for data centers, server platforms, CUDA C or C++ parallel programming, multiple GPU validation, P2P, reliability, or stress testing.
Experience with developing scalable validation infrastructure for labs, cloud environments, containers, virtualization, or configuration management.
Practical use of AI assisted analytics for test planning, automation, failure analysis, or defect detection is also valued.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 270,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 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.
