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Senior Software QA Test Developer - Embedded

Nvidia·Pune

Pay not stated5–9 yrsFull-time

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About the role

As a Sr. QA Test Developer, you will help develop the next generation of intelligent vision systems through our Metropolis platform. This platform includes an evolving ecosystem of DeepStream, Video Search and Summarization (VSS), Agentic AI and Physical AI applications. This role provides an excellent opportunity to merge thorough test engineering with AI-supported software development, revolutionizing test creation, automation and scalability.

What you'll do

  • Build and complete functional, integration, system and end-to-end validation for VSS and Metropolis applications, blueprints and workflows including multi-camera
  • 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
  • Deploy and validate Metropolis applications and workflows using Docker, Kubernetes and Helm while automating test execution across distributed GPU environments and edge…
  • Apply AI-powered tools and agents throughout the test development lifecycle to accelerate test generation, code development, test analysis, coverage improvement

What you need

  • 5–9 years in software engineering
  • Python
  • Docker
  • Kubernetes
  • Shell scripting
  • Microservices
  • CI/CD
  • B.Tech or B.E. or M.Tech

Good to have

  • Embedded C
  • Test automation
  • Root cause analysis
  • Machine learning
  • Computer vision
  • Helm

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