Senior AI Agent Test Developer, SDET
NVIDIA is hiring a Senior AI Agent Test Developer, SDET in Santa Clara, United States. It pays $168k-$270k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this role: the job is building AI systems.
- Tools and skills the posting cites include AI agents.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
- The role was posted in the last few days.
AI in this role
NVIDIA is the world leader in accelerated computing and AI. Our technologies power the most advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, production‑grade AI deployment across cloud and enterprise environments. We are looking for a senior, technically strong test development engineer to drive quality, automation, and technical leadership in this rapidly evolving space.
We are looking for a Senior AI Agent Test Developer to help deliver reliable AI agents and end-to-end agentic workflows on NVIDIA GPU platforms. You will develop test plans and strategies to validate how models, agent harnesses, tools, and inference runtimes work together. You will also build agentic QA solutions that improve test development, execution, and failure analysis.
What you’ll be doing:
- Use and develop AI-powered tools to make software testing smarter, faster, and more effective!
- Improve test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
- Work with product, engineering, and cross-functional teams to review requirements and define test strategies.
- Build test plans, design and execute test cases, and report quality status, risks, bugs, and results.
- Perform functional, performance, fault-injection, reliability, and regression testing for AI apps and agents and end-to-end agentic workflows.
- Automate test cases and contribute to scalable test frameworks and agent test harnesses.
- Manage the bug lifecycle, reproduce customer issues, and verify fixes.
What we need to see:
- 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.
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.
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.How we rate this
Senior AI Agent Test Developer, SDET at NVIDIA rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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