AI Full-Stack Engineering Intern (Winter '26) at edgetrace.ai (San Mateo, CA)

edgetrace.ai· San Mateo, CA·3d ago

Role details

Work type

Onsite

Employment

Full-Time

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.

Why work at edgetrace.ai

Culture highlights: EdgeTrace is an early-stage startup (4 employees) with a strong mission-driven focus on public safety and ethical AI. The company is explicitly building with a "manifesto" that prioritizes accountability and data sovereignty. The work is highly impactful, directly helping law enforcement solve cases faster.
Remote/hybrid/office policy: OnSite Workspace. Employees work from physical offices in San Mateo, CA.
Notable perks or engineering culture: The team is small, meaning significant ownership and impact from day one. The engineering culture is focused on building a serious, high-stakes product for government clients, requiring a high bar for reliability, security, and ethics. They are looking for people who want to do "the work on this page."

About edgetrace.ai

Company Overview

One-liner: EdgeTrace provides an on-premise, air-gapped AI platform that makes every camera searchable in plain language for public safety teams.
Entity Type: Private (Pre-Seed, backed by Y Combinator)
Headquarters: San Mateo, California, United States
Founded: 2024
Founders: Kyle Orciuch (President & CEO)

Core Business

Primary industry/industries: Public Safety Technology, AI-Powered Video Analytics
Target customers: B2G (Business-to-Government) - Law enforcement agencies, public safety departments, and critical infrastructure protection teams.
Mission or purpose statement: "EdgeTrace exists so that people can reliably question huge video datasets, after the fact and in real time, the way we already question documents and search code today." - edgetrace.ai

Products & Services

[EdgeTrace Vantage VMS]: A full-featured video management system that turns hours of footage into seconds of evidence. It allows users to query video in natural language (e.g., "White Tacoma, ladder rack, between 2 and 4 a.m.") and returns match-ranked results with timestamps and clip exports. It features behavior search (describing an action, not just an object) and live alerting.
[EdgeTrace Intelligence Platform]: An on-premise or air-gapped appliance that indexes footage from existing cameras (Genetec, Milestone, Avigilon, S3) and allows for live, retrospective, strategic, and cross-jurisdictional searches. It includes automatic redaction, role-bounded access, and a signed chain of custody for every query, view, and export.

Market Standing

Valuation/Market Cap: Not publicly available (early-stage startup).
Key Metric: Total Funding of $500,000 (Pre-Seed Round led by Y Combinator, February 2024).
Notable Investors/Partners: Y Combinator. Deployed today with departments like the City of Pleasanton and Pleasanton Police.
Growth Signals: The company is very early-stage (founded in 2024, 4 employees). Key growth signals include securing Y Combinator backing and landing its first government deployment contracts. The product addresses a clear pain point (80%+ time savings on video investigations) with a strong data-sovereignty value proposition.

Competitive Advantages

Data Sovereignty by Design: Unlike competitors that pull video into a cloud, EdgeTrace runs on-prem and air-gapped on agency-owned hardware. They contractually and technically refuse to train on, retain, or repurpose agency video. This is their core differentiator for public safety clients.
Built-in Guardrails: Features like role-bounded access, per-camera scoping, automatic redaction on export, and a signed chain of custody are built in from day one, not retrofitted. This makes the tool legally defensible and accountable.
Natural Language Querying: They offer the ability to search across every camera in plain language, similar to how one would search code or documents, significantly reducing investigation time.

Strategic Focus

Current priorities and direction for growth: The company is focused on deepening its footprint with current public safety deployments and expanding to new agencies. They are building "patiently and on purpose," prioritizing product robustness and trust over rapid, unscalable growth. They aim to make "modern intelligence... reserved for the agencies that can afford to send their data away" accessible to all.

Sources