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Niche Jetson/edge AI skillset but metro location and known employer raise applicant competition to medium.
Specialized embedded Linux, NVIDIA Jetson, and computer-vision skills strongly limit cross-industry transferability.
Explicit 7+ years plus leadership and many mandatory embedded, CV, and automation requirements increase strictness to high.
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Own end-to-end QA strategy and execution for NVIDIA Jetson Orin Edge AI hardware, mobile apps (Android/iOS), and backend infrastructure under heavy concurrent user load.
Lead and mentor QA automation engineers; define quality gates collaborating with cross-functional teams including product, ML researchers, and hardware engineers.
Direct AI model benchmarking on edge devices, architect automated test frameworks, and drive AI-driven testing tool adoption integrated into CI/CD pipelines.
7+ years in Software Quality Assurance or SDET roles with 2+ years in QA Lead or management position.
Expertise in embedded Linux systems and direct experience testing on NVIDIA Jetson platforms (Nano, Xavier, Orin).
Advanced skills in Python for automation, OpenCV for video augmentation, automated video annotation tools (e.g., CVAT), and performance/load testing tools like JMeter.
Proven knowledge of mobile test automation frameworks for Android and iOS (Appium, Espresso) and networking protocols for IoT (TCP/IP, MQTT, REST, WebRTC, RTSP).
Experienced leader capable of defining and executing multi-platform QA strategies for complex AI and edge computing ecosystems.
Strong technical background in embedded Linux edge devices combined with mobile app automation and AI/ML testing proficiency.
Comfortable integrating modern AI-driven testing tools within Agile and CI/CD environments while collaborating across hardware, software, and research teams.