Source description

About the role

About EdgeTrace

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 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

Details

Duration: 10 weeks (Winter 2026)

Location: On-site in San Mateo (hybrid flexible)

Compensation: $30-40 / hr based on experience

Impact

Your 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.

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Req ID: R10

AI Full-Stack Engineering Intern (Winter '26)