Sr. QA Test Developer

As a Sr. QA Test Developer at NVIDIA, you will help develop the next generation of intelligent vision systems through the Metropolis platform.

This role provides an excellent opportunity to merge thorough test engineering with AI-supported software development, revolutionizing test creation, automation, and scalability.

Responsibilities:

• Develop and improve Python-based test frameworks and CI/CD automation for NVIDIA Metropolis, validating end-to-end IVA and video AI workflows across cloud, data center, workstation, and edge platforms.
• Build and complete functional, integration, system, and end-to-end validation for VSS and Metropolis applications, blueprints, and workflows.
• Develop validation frameworks for Video Search & Summarization (VSS), focusing on video indexing, semantic search, multimodal understanding, retrieval, and summarization.
• Validate microservices-based and distributed AI architectures, covering APIs, service integration, inter-service communication, configuration, scalability, fault tolerance, and end-to-end workflows.
• Deploy and validate Metropolis applications and workflows using Docker, Kubernetes, and Helm while automating test execution across distributed GPU environments and edge platforms.
• Apply AI-powered tools and agents throughout the test development lifecycle to accelerate test generation, code development, test analysis, coverage improvement, log analysis, regression triage, root-cause analysis, and code reviews.
• Benchmark AI pipelines and applications for accuracy, latency, efficiency, resource utilization, scalability, and reliability across different GPU configurations and deployment profiles.
• Partner with development, architecture, product, and release teams to identify quality risks, analyze sophisticated system-level issues, drive defects to resolution, and communicate release readiness and quality metrics.

Requirements:

• B.Tech. or M.Tech. in Computer Science, Computer Engineering, Information Technology, Electronics, or a related field, or comparable experience.
• 5+ years of hands-on software test development or automation experience, preferably in AI/ML, computer vision, video analytics, embedded systems, or GPU-accelerated applications.
• Strong Python programming skills with experience building test frameworks, automation infrastructure, utilities, and validation tools from the ground up.
• Hands-on experience bringing to bear AI-assisted development tools and AI-powered workflows for test development, code generation, test analysis, debugging, coverage improvement, or test development workflow optimization.
• Strong proficiency in Linux, including shell scripting, system-level debugging, process/resource analysis, and command-line fixing.
• Hands-on understanding of AI/ML and computer vision, including concepts such as object detection, classification, tracking, video analytics, and AI inference pipelines.
• Experience with CI/CD, Docker, and containerized application deployments, using tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent.
• Strong understanding of test development methodologies, including test planning, test building, regression testing, defect lifecycle management, root-cause analysis, code/test coverage, and release validation.

Benefits:

• Competitive salaries
• Generous benefits package
• Opportunities for career growth and development