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Verkada is a high-growth physical AI platform company protecting organizations through integrated video security, access control, air quality sensors, alarms, intercoms, and visitor management. The company has 30,000+ customers (including 100+ Fortune 500 companies), a $5.8B valuation, over $1B in annualized bookings, and backing from CapitalG, Sequoia Capital, and General Catalyst. More than 2 million Verkada devices are deployed across 170+ countries.
The Computer Vision team develops the AI and machine learning models powering Verkada's advanced analytics. As a Software Engineer on this team, you will work on creating and refining algorithms for people and vehicle detection, license plate recognition, unusual object detection, object/people counting, vision language models, and real-time facial recognition.
Key responsibilities include:
- Writing clean, modular C++ code for production systems
- Implementing traditional computer vision algorithms
- Training deep learning networks using PyTorch, TensorFlow, Keras, or similar frameworks
- Designing data structures and system architecture
- Recent project examples: binary classifiers for camera state detection, scene change detection, object frequency analysis, text-image embedding models, edge-deployed license plate recognition, and real-time facial recognition systems
You will work onsite five days per week in San Mateo. The role requires a Bachelor's degree in Computer Science (preferably with research experience), 1-3 years of industry software engineering experience, 1+ years with neural network frameworks, mastery of at least one practical programming language, and experience in agile team environments. Verkada sponsors employment visas for qualified candidates.
