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Senior Software QA Test Developer - Embedded

NVIDIA· Engineer, SW QA Test Dev
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Punefull-timePosted 1mo ago

About the role

Senior QA Test Developer for NVIDIA Metropolis ecosystem (including DeepStream, VSS, Agentic AI and Physical AI). Develop and validate end-to-end test frameworks, automate validation across cloud, data center, workstation and edge platforms, and leverage AI-powered tooling to accelerate test development and analysis.

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 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.

Qualifications

  • 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.

Skills

Required:PythonLinuxCI/CDDockerKubernetes
Last updated Sep 11, 2026. Interested? Apply on the company site.

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