AI Full-Stack Engineering Intern (Winter '26)

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.