Senior AI Agent Test Developer, SDET

at Nvidia

USD 168,000-322,000 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 CI/CD @ 4 Communication @ 7 Datadog @ 4 Debugging @ 4 GPU @ 4 Grafana @ 4 Kubernetes @ 4 Linux @ 6 Microservices Observability @ 4 Prometheus @ 4 Python @ 6 QA @ 7

Details

NVIDIA is the world leader in accelerated computing and AI. Its technologies power advanced AI platforms, including NeMo microservices and NVIDIA Inference Microservices (NIM), enabling scalable, production-grade AI deployment across cloud and enterprise environments.

The Senior AI Agent Test Developer will help deliver reliable AI agents and end-to-end agentic workflows on NVIDIA GPU platforms. The role involves developing test plans and strategies to validate how models, agent harnesses, tools, and inference runtimes work together, as well as building agentic QA solutions that improve test development, execution, and failure analysis.

Responsibilities

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 applications, 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.

Requirements

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.

Preferred Qualifications

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.

Benefits

The position includes eligibility for equity and benefits. NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment. Applications will be accepted at least until November 7, 2026.