Senior Software QA Test Developer - Embedded
NVIDIA Corporation (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 20–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and enhance Python-based test frameworks and CI/CD automation validating end-to-end Intelligent Video Analytics (IVA) and AI workflows across cloud, data center, workstation, and edge platforms.
- Design and execute functional, integration, system, and end-to-end validation for NVIDIA Metropolis applications including Video Search & Summarization, covering multi-camera, multi-stream, multi-model, and simulation workflows.
- Deploy and validate microservices AI architectures with Docker, Kubernetes, Helm; apply AI-powered tools throughout test lifecycle to accelerate test generation, analysis, coverage, and debugging.
Minimum Requirements
- B.Tech. or M.Tech. in Computer Science, Computer Engineering, IT, Electronics or related field, or equivalent experience.
- At least 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 proficiency with experience building test frameworks and automation tools.
- Proficient with Linux including shell scripting, system-level debugging, and process/resource analysis.
Ideal Candidate Profile
- Experienced in AI/ML, computer vision, and video analytics domains with a strong understanding of AI inference pipelines and related technologies.
- Comfortable working with containerized deployments, CI/CD tools, and distributed GPU environments.
- Demonstrable experience applying AI-powered tools or agents to improve test automation efficiency, quality, and debugging capabilities.