Verkada is a San Mateo, CA-based company building cloud-managed physical security systems including cameras, access control, environmental sensors, and alarms, all unified through a single software platform. Their engineering challenges include deploying machine learning models directly on camera hardware for real-time edge inference such as person detection and license plate recognition, building video analytics pipelines that process and index thousands of concurrent camera streams, designing reliable cloud-to-device communication protocols that maintain control over distributed hardware installations, and advancing computer vision capabilities that transform raw video into searchable, actionable security intelligence. The company operates at the intersection of embedded systems, cloud infrastructure, and applied ML, requiring engineers who can optimize neural networks for resource-constrained edge devices while building the cloud backend that aggregates and analyzes data from tens of thousands of deployed cameras. Verkada's hiring patterns reveal demand for embedded ML engineers, firmware developers, full-stack cloud engineers, and computer vision researchers.
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