Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. Verkada has significant market momentum with over 30,000 customers, a $5.8B valuation, and over $1 billion in annualized bookings. The company is backed by prominent investors and is at the forefront of the Physical AI technology shift, with its platform impacting various sectors like retail, warehousing, and education. The company's platform is deployed in over 170+ countries, with more than 2 million devices in operation. The embedded software stack runs on an x86-based platform, involving work on UEFI, bootloader, drivers, a custom Linux OS distribution via Yocto Project, containerization, storage solutions, and filesystem/block device mapping. The device integrates with a scalable cloud backend using Go and Python microservices, and features a proprietary suite of streaming technologies for high-quality video. The frontend includes web and mobile applications, with security technologies like encryption, signing, and secure boot being critical. The product also implements high-performance AI inference and computer vision (CV) features, requiring optimization and productionization in collaboration with the computer vision team.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Senior