Member of Technical Staff, Full Stack

location_onSunnyvaleschedulekemarin dulu
apartmentCara bekerja:Di kantor
badgeStatus kerja:Penuh waktu
schoolPendidikan:Sarjana (S1)

Deskripsi pekerjaan

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.

In this role, you will:

  • Build and maintain backend services that ingest, process, and serve video and sensor data at scale
  • Ship AI-native features end to end: natural-language video search, real-time detections, and agentic workflows built on multimodal LLMs and computer vision
  • Implement user-facing frontends in TypeScript/React, working closely with product
  • Design scalable APIs and systems that interface with our ML pipelines and edge device fleet
  • Collaborate on infrastructure and architecture decisions from the ground up
  • Tackle problems involving distributed systems, real-time processing, and high availability

Skills and

qualifications

  • A Bachelor's degree in Computer Science or similar relevant experience
  • Strong experience with Golang, Python, or C++
  • Experience with modern frontend stacks — TypeScript, React (react-query, Tailwind)
  • Experience designing and building scalable backend systems and APIs
  • Comfort with distributed systems, containers, and cloud-native infrastructure (we run Kubernetes on AWS, Pulumi for IaC)
  • Fluency with AI-assisted development and opinions on where it works well
  • Previous startup experience building systems from scratch or scale-up experience and knowing what good looks like
  • A strong understanding of system performance, reliability, and clean architecture
  • Resilient in challenging and fast-paced environments
  • Exceptional written and verbal communication skills in English, with the ability to influence at all levels
  • Ability to work in an onsite environment

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.

Keahlian yang disebut


AI, Enterprise Software, IOT
Sunnyvale
coram.ai

At Coram AI, our mission is to empower businesses by providing modern, AI-driven software solutions that enhance security through intelligent video surveillance. Our cloud-based security cameras are designed to integrate seamlessly with any IP camera, making it easy for businesses to fortify their operations without extensive infrastructure overhaul. Our advanced AI capabilities enable real-time identification of critical events, from detecting slip-and-fall incidents to spotting potential weapon threats, allowing organizations to maintain a proactive stance in safety management. Our platform is built for scalability, allowing businesses of all sizes—whether monitoring 10 cameras or thousands—to effectively oversee their security landscape. The ability to access and manage video footage from anywhere ensures that our customers can monitor their premises without being tied down to traditional hardware constraints. By harnessing the power of AI, Coram delivers smarter operations and reduces waste, enabling teams to focus on what truly matters.

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