Fullstack Engineer

You’ll join a lean, high-ownership engineering team building the core systems behind a video intelligence platform processing billions of events daily. This is a full-stack role spanning backend services, frontend interfaces, and AI-native feature development.

In this role, you will:

• Build and maintain backend services that ingest, process, and serve video and sensor data at scale
• Ship AI-native features end to end, including natural-language search, real-time detections, and agentic workflows built on multimodal LLMs and computer vision
• Implement user-facing frontends in TypeScript/React, working closely with product
• Design scalable APIs and systems that interface with ML pipelines and an edge device fleet
• Collaborate on infrastructure and architecture decisions from the ground up
• Tackle problems involving distributed systems, real-time processing, and high availability

• 3+ years of experience in a genuine startup environment, building systems from scratch
• Strong backend experience (language-agnostic, Python/Go/C++ all welcome) plus modern frontend experience (TypeScript, React)
• Comfort with distributed systems, containers, and cloud-native infrastructure
• Fluency with AI-assisted development tools and strong opinions on where they work well
• A degree in Computer Science or a related field from a strong university
• A track record of clean, explainable career progression

Logistics

Full-time, fully in-office (5 days per week) at a West Coast Bay Area location. Sponsorship available for exceptional candidates.

Competitive base salary, meaningful equity in an early-stage company, and full health benefits.

Series B startup building an AI-native platform that transforms how organizations understand and respond to what’s happening in their physical spaces. The product analyzes live video and sensor data in real time, powering natural-language search, automated incident detection, and AI agents that investigate events across camera feeds autonomously.

Founded by veterans of the self-driving car industry (PhDs from top-tier research universities, prior roles at a major rideshare/autonomy company), the company has raised over $65M to date from leading venture investors and is already generating revenue with a fast-growing customer base.