Senior Manager, Computer Vision Inference

What you'll do

• Lead 2-3 ML engineering teams to develop and deploy computer vision solutions on edge devices.
• Architect end-to-end video analytics processing pipelines that operate in real-time under tight resource constraints.
• Optimize ML inference to maximize throughput and minimize latency across diverse hardware platforms.
• Partner with hardware, firmware, and research teams to integrate model outputs into commercial-grade solutions.
• Define and track core performance benchmarks to ensure reliability in mission-critical environments.
• Recruit, mentor, and retain high-performing ML and computer vision engineers.
• Translate ambiguous product concepts and customer needs into executable technical roadmaps and specifications.

What we're looking for

• Master’s degree in Computer Vision, Artificial Intelligence, Computer Science, or a related quantitative field.
• 11+ years of computer vision experience.
• 7+ years of engineering leadership experience managing computer vision and deep learning teams delivering edge or embedded software.
• 5+ years of hands-on experience building and optimizing computer vision models or implementing computer vision algorithms.
• Demonstrated track record of directly managing organizations of 20-30 engineers.
• Deep expertise in the end-to-end MLOps lifecycle and building high-performance inference runtimes.
• Experience in a start-up or fast-paced environment demonstrating high ownership and the ability to drive 0-to-1 product development.
• Hands-on experience building multi-camera video analytics, real-time streaming frameworks, or embedded vision hardware solutions (preferred).