Senior SWQA Test Development Engineer

• 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

• 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

Ways to Stand Out from the Crowd:

• Experience testing AI/ML platforms, LLM pipelines, or inference services
• Hands-on exposure to NeMo, NIM, or model-as-a-service platforms
• Experience with performance, scale, and reliability testing in production-like environments
• Applying AI tools to enhance test development, automation, and diagnostics
• Prior ownership of quality for customer-facing or production-critical services

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

At NVIDIA, quality is foundational. This role offers the opportunity to set the quality bar for NVIDIA’s next-generation AI microservices, influence architecture, and lead others-while working alongside some of the best engineers in the industry.