DIY home security hardware with cloud video and professional monitoring
SimpliSafe sells self-installed wireless home security systems backed by monitoring, but its stack reads like a video and ML company: FFmpeg, WebRTC and GStreamer for streaming, plus Ray, KServe, Triton and vLLM for model serving. Engineering dominates hiring, and pain points around real-time computer-vision inference and ML deployment friction show where that investment is going.
Notable leadership hires: Tax Director
SimpliSafe is a privately held home security company founded in 2006 and headquartered in Boston, Massachusetts. It designs wireless, cellular alarm systems, sensors and security cameras that homeowners install themselves, controlled through companion apps and paired with 24/7 professional monitoring offered without long-term contracts. The company sells direct to consumers through e-commerce. It employs 501–1,000 people and hires in the United States and India across engineering, marketing, operations, sales, data, design, security and finance.
SimpliSafe uses AWS, GCP and Azure with Kubernetes and Docker, Node.js, Go, Rust, C++, Python and TypeScript, React and Next.js on the front end, and FFmpeg, WebRTC and GStreamer for video.
Yes. Its stack includes Ray, KServe, Triton and vLLM, and job posts cite scaling real-time computer-vision inference and high-throughput inference.
SimpliSafe hires in the United States and India, with engineering as the largest hiring area alongside marketing, operations and sales roles.
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SimpliSafe'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.