Senior Software QA Test Developer - Embedded

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.

B.Tech. Or M.Tech. In Computer Science, Computer Engineering, Information Technology, Electronics, or a related field, or comparable experience.