Sr Manager, Computer Vision Inference

Company Overview At Motorola Solutions, we believe that everything starts with our people. We're a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that's critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. Department Overview Motorola Solutions' innovations, products, and services play essential roles in people's lives. Our end-to-end suite of software solutions helps customers manage emergency communications, process video and evidence, and leverage cutting-edge AI-driven analytics for security and operational insights. We are industry leaders in video security and analytics, with solutions deployed in more than 120 countries across diverse environments such as school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers. Our AI-powered security solutions integrate advanced video analytics, machine learning, and embedded intelligence to enable proactive threat detection, enhanced situational awareness, and automated decision-making. Job Description Reporting to the Head of Computer Vision for Motorola Solutions, the Sr Manager, Computer Vision Inference will be a critical engineering leader responsible for leading 2-3 ML engineering teams focused on building and deploying video analytics pipelines across cameras and other edge devices. This role requires deep expertise in computer vision, deep learning, and high-performance ML inference to ensure efficient real-time processing across Motorola's product portfolio. Key Responsibilities The Director of Computer Vision Inference will drive engineering execution for edge ML pipelines, focusing on the following core areas: - Team Leadership & Execution: Lead 2-3 ML engineering teams dedicated to developing, optimizing, and deploying computer vision and deep learning solutions across cameras and edge appliances. - Video Analytics Solutions: Architect and deliver end-to-end video analytics processing pipelines that operate reliably in real-time under tight resource constraints on edge hardware. The teams work closely with modeling teams and also independently devise algorithms to create end-to-end solutions to solve customer problems. - Cross-team Collaboration: Partner closely with hardware, platform, embedded firmware, and AI research teams to translate model outputs into seamless, commercial-grade video intelligence solutions. - High-Performance ML Inference: Drive continuous optimization to maximize throughput and minimize latency across diverse platforms. - Metrics & Quality Optimization: Define and track core performance benchmarks to maintain superior performance in mission-critical environments. - Talent Development & Mentorship: Foster an engineering culture of excellence, recruiting, mentoring, and retaining high-performing ML and computer vision engineers. Qualifications & Experience Educational Background: Master's or Ph.D. in Computer Vision, Artificial Intelligence, Computer Science, or a closely related quantitative field. 7+ years of engineering leadership experience managing computer vision and deep learning engineering teams delivering edge or embedded software solutions into production. Technical Depth in ML and ML Inference: Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle, including 5+ years of