Senior Software QA Test Developer - Embedded
Core
Develop and validate AI vision systems, video analytics, and Agentic AI workflows on NVIDIA Metropolis platform across cloud, data center, and edge environments.
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 | product features
Required skills
Python, Linux, CI/CD, Docker, Kubernetes, Helm, Test Frameworks, AI/ML concepts, Computer Vision, Embedded Systems, GPU-accelerated applications
Preferred skills
NVIDIA Metropolis, DeepStream, TensorRT, CUDA, NGC, Real-time video streaming, Agentic AI workflows, Kubernetes on Jetson/RTX
Technologies
Python, Linux, Jenkins, GitHub Actions, GitLab CI, Docker, Kubernetes, Helm, TensorRT, CUDA, NGC, NVIDIA Jetson, NVIDIA 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.
Seniority
Senior, hands-on IC