Senior Software QA Test Developer - Embedded
NVIDIA Corporation (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 25–45 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 for validating end-to-end intelligent video analytics (IVA) and AI workflows across cloud, data center, workstation, and edge devices.
- Build and execute functional, integration, system, and end-to-end validations for video AI applications including multi-camera, multi-stream, and simulation workflows spanning video processing to AI inference and visualization.
- Leverage AI-powered tools and agents to accelerate test generation, automation, debugging, coverage improvement, and analysis across distributed GPU and containerized environments using Docker, Kubernetes, and Helm.
Minimum Requirements
- B.Tech or M.Tech degree in Computer Science, Computer Engineering, IT, Electronics, or equivalent 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 and automation tools from scratch.
- Proficiency in Linux including shell scripting, system-level debugging, CI/CD experience, and familiarity with Docker and containerized deployments.
Ideal Candidate Profile
- Experienced in AI/ML and computer vision concepts such as object detection, classification, tracking, video analytics, and AI inference pipelines.
- Knowledgeable in distributed microservices-based AI architectures, video streaming, and validation on GPU platforms including NVIDIA Metropolis, DeepStream, TensorRT, CUDA stack.
- Demonstrated ability to use AI-powered development and test tools to meaningfully improve test automation quality, coverage, and regression efficiency in complex AI software systems.