- MS or PhD in Computer Science, Engineering, or a related field (or equivalent experience).
- 8+ years of QA, test automation, or software testing experience.
- Hands-on experience developing, testing, and maintaining AI agents or their underlying components, such as models, agent harnesses, and inference runtimes.
- Practical experience configuring, running, and debugging open-source models using at least one inference runtime or framework.
- Strong QA fundamentals, test strategy, test planning, and failure analysis skills.
- Proficiency with Unix/Linux, Python programming, and shell scripting.
- Experience with Kubernetes, containers, CI/CD pipelines, and cloud-native systems.
- Experience testing observability tools such as Prometheus, Grafana, ELK Stack, Datadog, or similar platforms.
- Experience with large-scale failure testing, using tools such as KWOK, Chaos Monkey, or similar frameworks.
- Strong communication, problem-solving skills, and curiosity for complex technology
Ways to stand out from the crowd
- Used AI to reduce testing time, improve defect detection, or increase test coverage.
- Built AI-driven solutions that streamlined QA workflows or reduced manual effort.
- Experience with NVIDIA GPU hardware or GPU-accelerated software.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 270,250 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.