Senior Software QA Test Developer - Embedded

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Skills you'll use

What you'll do

• 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 including multi-camera, multi-stream, multi-model and simulation-based workflows spanning video ingestion, decoding, preprocessing, inference, tracking, analytics and visualization.
• Develop validation frameworks for Video Search & Summarization (VSS), focusing on video indexing, semantic search, multimodal understanding, retrieval and summarization, while evaluating emerging Agentic AI workflows involving agents, tool calling and orchestration.
• 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.

About NVIDIA

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