Coram AI

Member of Technical Staff, Frontend at Coram AI (Sunnyvale, CA)

Coram AI· Sunnyvale, CA·

Role details

Work type
Onsite
Employment
Full-Time

Job description

At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

Responsibilities:

  • Architect and scale high-performance React and TypeScript applications built for real-time surveillance operations.
  • Build UI components for video playback, timeline scrubbing, and multi-camera grid management.
  • Optimize client-side rendering, network bandwidth, and browser memory usage when streaming high-frequency data.
  • Partner closely with Product, Design, and Machine Learning engineers to transform complex AI detection capabilities into simple user experiences.
  • Establish frontend architecture patterns, maintain testing standards, and mentor team members.

Skills and qualifications:

  • Experience building production web applications in React and TypeScript
  • Deep understanding of frontend performance profiling, browser memory management, and client-side optimization
  • Hands-on experience working with real-time data streams (WebSockets, SSE, or WebRTC)
  • Strong software engineering fundamentals, including modular architecture, state management, and automated testing
  • High bar for UI detail, usability, and web accessibility is a plus
  • Experience with video technologies on the web (HLS, WebRTC, MSE, or Canvas/WebGL video rendering) is a plus
  • Experience building spatial or location-aware dashboards using mapping tools (e.g., Mapbox, Leaflet) is a plus
  • Prior experience in fast-paced startup environments or developer-centric B2B SaaS platforms is a plus

What we offer:

  • Competitive compensation package
  • Early-stage equity in a rapidly growing company
  • Referral bonuses
  • Team dinners and regular team off-sites
  • The latest Apple products and unlimited tech stack

We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC and Up Partners, have raised over $65M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.

Why work at Coram AI

  • Cutting-Edge AI Work: Engineering roles involve applying state-of-the-art computer vision, NLP, and autonomous agent technology to real-world physical security problems.
  • High Growth Stage: Series B, 4x revenue growth, 128% headcount growth YoY — employees join early in a hypergrowth trajectory.
  • Open Positions (20 active): Roles across engineering (Infrastructure, AI, C++), product management, sales, marketing, growth, and strategic finance.
  • Founding Team Pedigree: Co-founders from Lyft’s autonomous driving division (acquired by Toyota/Woven) and Zoox — strong technical leadership and autonomy/AI expertise.
  • Culture: Described as an "AI-native" culture — the company is built by engineers and researchers who value automation, efficiency, and modern technology.
  • Hybrid/Remote: Based in Sunnyvale, CA; roles may offer hybrid or remote flexibility depending on position.
  • Key Perks: Opportunity to shape the physical security industry with AI, work on mission-critical safety technology used by schools and hospitals, and contribute to a platform that helps prevent incidents rather than just documenting them.

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