Senior Software QA Test Developer - Embedded
Core
Develop and validate AI-driven video analytics, search, and summarization workflows on NVIDIA's Metropolis platform using automated test frameworks.
Role type
Senior Software QA Test Developer (Embedded/AI)
Builds
DeepStream, Video Search & Summarization (VSS), Agentic AI, and Physical AI applications
Domain
AI/ML, Computer Vision, Video Analytics, Embedded Systems, GPU Computing
Deliverable
production ML models
Required skills
Python, Linux, CI/CD, Docker, Kubernetes, AI/ML concepts, Computer Vision, Test Automation, Shell Scripting
Preferred skills
NVIDIA Metropolis, DeepStream, TensorRT, CUDA, NGC, Agentic AI, Kubernetes/Helm on Jetson
Technologies
Python, Linux, Docker, Kubernetes, Helm, Jenkins, GitHub Actions, GitLab CI, TensorRT, CUDA, NGC, NVIDIA Jetson, RTX
Responsibilities
Develop Python-based test frameworks and CI/CD automation for end-to-end IVA and video AI workflows; Build functional, integration, system, and end-to-end validation for VSS and Metropolis applications; Develop validation frameworks for Video Search & Summarization (VSS) and Agentic AI workflows; Validate microservices-based and distributed AI architectures; Deploy and validate applications using Docker, Kubernetes, and Helm; Apply AI-powered tools and agents for test generation, analysis, and debugging; Benchmark AI pipelines for accuracy, latency, and efficiency; Partner with development and product teams to identify quality risks and drive defect resolution.
