AI Full-Stack Engineering Intern (Winter '26)
About The Position
YC W24 startup building AI-powered video management systems for law enforcement Real-Time Crime Centers and transportation departments. We help agencies search camera networks in natural language and detect and respond to threats in real time. Tech Stack Frontend: Next.js, React, TypeScript, gRPC-Web Backend: Nest.js, REST, Protocol Buffers, gRPC AI/ML: Python, PyTorch, TensorRT GPU: Custom CUDA kernels for video decoding and multi-stream inference Infrastructure: RabbitMQ, Bazel, Docker, Systemd Data: Vector database, PostgreSQL-17 Video: ONVIF, RTSP, HLS, WebRTC What You'll Build 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 Example Projects 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
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Work directly with YC founders
- ship to production systems
- potential for full-time conversion
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What This Job Offers
Career Level
Intern
