Back
Strong employer brand, mid-level seniority, and metro location balanced by niche edge-AI skills.
Highly specialized edge, embedded Linux, NVIDIA Jetson and computer-vision skills limit cross-industry transferability.
Explicit 7+ years plus 2+ years lead experience and many mandatory embedded/ML/automation skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and lead the comprehensive quality assurance strategy for a complex Edge AI ecosystem including NVIDIA Jetson Orin edge devices, mobile applications, and backend infrastructure.
Lead and manage QA automation engineers while collaborating cross-functionally to establish quality gates, reporting on quality metrics and release readiness to senior management.
Architect and execute validation, benchmarking, load/performance testing, and AI-driven testing processes focusing on system robustness under high concurrency and real-time usage.
7+ years in Software Quality Assurance, Systems/Solutions Testing, or SDET roles with at least 2+ years in a lead or management capacity.
Expert-level knowledge of Linux in embedded systems and extensive experience testing edge computing hardware, specifically NVIDIA Jetson platforms.
Strong skills in Python, mobile automation frameworks (Appium, Espresso), and performance/load testing tools such as JMeter.
Hands-on experience with computer vision tools (OpenCV), automated video annotation (CVAT), and model evaluation platforms (Weights & Biases).
Experienced leader capable of owning multi-platform QA strategy and leading agile, specialized testing teams in a high-tech environment.
Deep domain expertise in Edge AI hardware/software integration and benchmarking with proficiency in embedded Linux and NVIDIA Jetson Orin platform.
Strong technical architect with proven ability to design scalable automation frameworks and integrate AI-driven testing tools into CI/CD workflows.