Full Stack Engineer

Most computer vision companies are still shipping motion alerts. Our client is putting multimodal LLMs on every camera and sensor — natural-language video search, real-time firearm detection, intelligent access control, agentic workflows that actually do something when they see it. They're pointing that at a $50B legacy industry that hasn't meaningfully changed in twenty years.

Software Engineer on the core engineering team, building the systems behind the video intelligence platform. Genuinely full-stack and genuinely hard:

• Backend services ingesting, processing and serving video and sensor data at scale
• AI-native features shipped end to end — natural-language search, real-time detections, agentic workflows on multimodal LLMs and computer vision
• User-facing frontends in Type Script and React, working directly with product
• APIs and systems interfacing with the ML pipelines and the edge device fleet
• Distributed systems, real-time processing and high availability, with architecture decisions made from the ground up

• Go, Python or C++ on the backend
• Type Script and React with react-query and Tailwind on the front
• Kubernetes on AWS, Pulumi for infrastructure as code

• Strong Go, Python or C++, plus real experience with modern frontend stacks
• Comfort with distributed systems, containers and cloud-native infrastructure
• Startup experience building from scratch, or scale-up experience and a clear sense of what good looks like
• Fluency with AI-assisted development — and opinions on where it works and where it doesn’t
• A real understanding of performance, reliability and clean architecture
• Ability to work on-site in Sunnyvale

Founded by two ex-autonomous vehicle engineers from a major ride-hailing platform, both with PhDs from top-tier universities. Backed by well-known tier-one funds, over $65M raised, and named to the CB Insights AI 100 as one of the most promising AI companies in the world.

Early-stage equity, flexible PTO, the latest Apple kit and an unlimited tech stack. Daily team dinners and regular off-sites — a team that’s in the room together, on purpose.

If you want your code doing something in the physical world rather than optimising a funnel, this is that job.