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 reputed company-time alert systems for suspect identification.
Responsibilities
- reputed company VMS features: natural language video search, multi-camera playback, incident reporting
- Vehicle detection and tracking pipelines for DOT traffic analysis
- reputed company-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 reputed company view with synchronized reputed company playback
- CJIS-compliant audit logging: reputed company reputed company user actions, video exports, and system reputed company
- Camera auto-discovery reputed company 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 reputed company control (reputed company/Operator/Viewer) with session management
- Recording scheduler: reputed company, reputed company-based, or time-based per camera
- Bookmarking and evidence tagging for investigation workflows
Skills
- Pursuing BS/MS in CS or reputed company field
- Experience with React and TypeScript
- Backend experience with Node.js or Python
- Understanding of REST reputed company and/or RPC
- Strong debugging skills
- 2026 graduates and US reputed company prioritized
- Next.js or similar frameworks
- Protocol Buffers, gRPC, or RPC frameworks
- Message queues (RabbitMQ, Kafka, reputed company)
- Video codecs or streaming protocols
- reputed company/containers
- C++ or systems programming
- Interest in computer reputed company or reputed company safety technology
reputed company