Senior AI/ML Test Automation & Quality Lead

NVIDIA AI; Santa Clara (CA); On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA is seeking a senior test development engineer to drive quality, automation, and technical leadership for its AI microservices. The role covers end-to-end quality from design through release and production readiness, across distributed, containerized AI systems.

You will design and maintain test frameworks, lead testing strategy, and mentor engineers while collaborating with cross-functional teams to improve testability and performance, including LLM/inference workflows.

Qualifications

• BS or higher degree in CS/EE/CE majors (or equivalent experience).
• 8+ years of experience in software development, test development, or quality engineering roles.
• Strong proficiency in Python and test automation frameworks.
• Experience testing distributed systems, microservices, or cloud-native platforms.
• Solid understanding of Linux, Docker, Kubernetes, and CI/CD pipelines.
• Proven ability to lead technically, review designs, and mentor other engineers.
• Strong debugging skills and ability to reason about complex, system-level failures.
• Excellent communication skills and experience working across geographically distributed teams.

Responsibilities

• Own and drive end-to-end quality from design through release and production readiness.
• Lead test strategy, planning, and execution across functional, integration, system, performance, and reliability testing.
• Design, build, and maintain test frameworks and automation for microservice-based, containerized AI systems.
• Provide technical leadership and mentorship to less senior engineers including guiding test design, automation practices, and quality standards.
• Partner closely with cross functional teams to influence architecture and improve testability.
• Validate LLM and AI inference workflows, including model lifecycle, APIs, CLIs, deployment configurations, and scaling scenarios.
• Drive defect triage, root-cause analysis, and quality metrics, ensuring issues are addressed systematically and efficiently.
• Leverage AI-assisted testing techniques to improve coverage, efficiency, and signal-to-noise in test results.

Skills

Python

Test automation

Distributed systems testing

Leadership

Communication

Education

Bachelor's degree in CS/EE/CE

Tools

Linux

Docker

Kubernetes

CI/CD pipelines

Job description

NVIDIA is seeking a senior test development engineer to drive quality, automation, and technical leadership for its AI microservices. The role covers end-to-end quality from design through release and production readiness, across distributed, containerized AI systems.

You will design and maintain test frameworks, lead testing strategy, and mentor engineers while collaborating with cross-functional teams to improve testability and performance, including LLM/inference workflows.