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
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