Senior AI Agent Test Developer, SDET

NVIDIA•Santa Clara, CA
•$168,000 - $322,000

About The Position

NVIDIA is seeking a senior, technically strong test development engineer to drive quality, automation, and technical leadership for AI technologies, including NeMo microservices and NVIDIA Inference Microservices (NIM). The role helps deliver reliable AI agents and end-to-end agentic workflows on NVIDIA GPU platforms by developing strategies to validate models, agent harnesses, tools, and inference runtimes working together. It also builds agentic quality-assurance solutions to improve test development, execution, and failure analysis.

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 and problem-solving skills, and curiosity for complex technology.

Nice To Haves

  • 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.

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.

Benefits

  • Equity
  • Benefits
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