AI Full-Stack Engineering Intern (Winter '26)

EdgeTrace is a YC W24 startup building AI-powered video management systems for law enforcement and transportation departments. The AI Full-Stack Engineering Intern will work on developing features for video management systems, including natural language video search and real-time alert systems for suspect identification. Responsibilities Vantage VMS features: natural language video search, multi-camera playback, incident reporting Vehicle detection and tracking pipelines for DOT traffic analysis Real-time alert systems for suspect/vehicle identification ONVIF camera discovery and integration services Analytics dashboards showing detection accuracy, system health, and search performance Multi-camera grid view with synchronized timeline playback CJIS-compliant audit logging: track all user actions, video exports, and system access Camera auto-discovery via ONVIF with health monitoring and alerting Video export with chain of custody: watermarking, MD5 hashing, evidence lock Storage management system with retention policies and auto-overwrite Role-based access control (Admin/Operator/Viewer) with session management Recording scheduler: continuous, motion-based, or time-based per camera Bookmarking and evidence tagging for investigation workflows Skills Pursuing BS/MS in CS or related field Experience with React and TypeScript Backend experience with Node.js or Python Understanding of REST APIs and/or RPC Strong debugging skills 2026 graduates and US citizens prioritized Next.js or similar frameworks Protocol Buffers, gRPC, or RPC frameworks Message queues (RabbitMQ, Kafka, Redis) Video codecs or streaming protocols Docker/containers C++ or systems programming Interest in computer vision or public safety technology Company Overview EdgeTrace makes video data easily available and actionable for important businesses. It was founded in 2024, and is headquartered in San Francisco, California, USA, with a workforce of 2-10 employees. Its website is