AI Full-Stack Engineering Intern (Winter '26)

About EdgeTraceYC 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 StackFrontend: Next.js, React, TypeScript, gRPC-WebBackend: Nest.js, REST, Protocol Buffers, gRPCAI/ML: Python, PyTorch, TensorRTGPU: Custom CUDA kernels for video decoding and multi-stream inferenceInfrastructure: RabbitMQ, Bazel, Docker, SystemdData: Vector database, PostgreSQL-17Video: 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 Have

• 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

DetailsDuration: 10 weeks (Winter 2026)Location: On-site in San Mateo (hybrid flexible)Compensation: $30-40 / hr based on experience
ImpactYour code will help find missing persons, track stolen vehicles, and manage traffic flow. Work directly with YC founders, ship to production systems, and potential for full-time conversion.