Senior AI Agent Test Developer, SDET
$168,000 - $322,000 USD yearly
Validate models, agent harnesses, and inference runtimes on NVIDIA GPU platforms.
Originally posted 3 November 2026 by the employer.
About the role
This role involves validating AI agents and end-to-end agentic workflows on NVIDIA GPU platforms. You will develop test plans and agentic QA solutions to validate models, agent harnesses, tools, and inference runtimes.
What you'll do
- Use and develop AI-powered tools for test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization.
- Collaborate with product and engineering teams to review requirements, define test strategies, and build comprehensive test plans.
- Perform functional, performance, fault-injection, reliability, and regression testing for AI apps, agents, and agentic workflows.
- Automate test cases and contribute to scalable test frameworks and agent test harnesses.
- Manage the bug lifecycle by reproducing customer issues, verifying fixes, and reporting quality status, risks, and test results.
What you'll need
- 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.
- 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.
Skills: SDET, Python, Kubernetes, AI agents, inference runtimes
More semiconductor jobs: NVIDIA jobs · Software engineer jobs · California jobs
This role has been open 0 days — well below the 167-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · Infrastructure Platform
|
Open roles in category
35
|
Median days open
167 d
|
Category median salary (all employers)
—
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (35 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 35 |
| Open roles in the wider Software, Firmware & Systems family | 1178 | 6437 · 156 employers |
| Median days open | 120 d | 167 d (−47 d vs this employer) |
| Median salary (USD postings) | — | — |
Skills observed across this category: SDET, Python, Kubernetes, AI agents, inference runtimes
Who's hiring in this category
- Applied Materials · 7 open roles · median 193 d
- KLA Corporation · 5 open roles · median 169 d
- NVIDIA (this employer) · 5 open roles · median 180 d
- Lam Research · 2 open roles · median 167 d
- Renesas Electronics · 2 open roles · median 134 d
- Analog Devices · 1 open role · median 43 d
How we counted: 35 open Software Engineering Semiconductor (Infrastructure Platform) roles from 19 employers tracked in the SemiconductorJobs index, counted 4 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.