AI Full-Stack Engineering Intern (Winter '26)

edgetrace.ai
  • San Mateo
    30+ days ago

    Job Description

    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.

    Numbers & Facts

    LocationSan Mateo
    Websiteedgetrace.ai

    Skills

    • Access Controlunmatched
    • Apache Kafkaunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • C++ Programming Languageunmatched
    • CUDA (Compute Unified Device Architecture)unmatched
    • Chain of Custodyunmatched
    • Computer Visionunmatched
    • Debugging Skillsunmatched
    • Dockerunmatched
    • Establish Prioritiesunmatched
    • GPU (Graphics Processing Unit)unmatched
    • JavaScriptunmatched
    • Kernel Programmingunmatched
    • Law Enforcementunmatched
    • MD5 (Message Digest Algorithm 5)unmatched
    • Messaging Middlewareunmatched
    • Network Traffic Analysisunmatched
    • Node.jsunmatched
    • Production Systemsunmatched
    • Public Safetyunmatched
    • Python Programming/Scripting Languageunmatched
    • REST (Representational State Transfer)unmatched
    • RPC (Remote Procedure Call)unmatched
    • RabbitMQunmatched
    • Redisunmatched
    • Reporting Dashboardsunmatched
    • Schedule Developmentunmatched
    • Startupunmatched
    • Systems/Internals Programmingunmatched
    • VMS Operating Systemunmatched
    • Video Compressionunmatched
    • Video Streamingunmatched

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