Autonomous security robots paired with remote human security agents
Knightscope runs a managed security service built on autonomous robots, with an edge-heavy stack of NVIDIA Jetson, TensorRT, CUDA, ROS 2, LiDAR and OpenCV feeding cloud IoT backends on AWS, Azure and Google Cloud. New adoption of Cesium, Three.js, Babylon.js and WebGL lines up with a real-time 3D digital twin project. Hiring is accelerating and heavily weighted toward senior and staff engineering, a pattern consistent with moving robotics from prototype to production.
Knightscope is a publicly traded company headquartered in Sunnyvale, California, founded in 2013 and employing 201–500 people. It operates as a managed service provider for physical security. The service combines autonomous machines, AI orchestration software and licensed human security agents into a single operation that deters, detects and responds to threats. The company works across public safety and law enforcement–adjacent security, and its hiring is concentrated in the United States.
Knightscope uses Python, C++, ROS 2, NVIDIA Jetson, TensorRT, CUDA, ONNX, OpenCV, LiDAR, GStreamer and WebRTC. Its backends run on PostgreSQL and AWS IoT, with Docker for deployment.
Yes. Engineering dominates Knightscope's current US hiring, which is accelerating and skews toward senior and staff roles. A smaller set of finance, sales and security positions is also open.
Knightscope's current projects include a signals platform, the K7 program, an AI/ML autonomy layer, OTA and CI/CD pipelines for its robot fleet, and a real-time 3D digital twin layer.
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Knightscope's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.