Graduate Software Engineer

Coram AISunnyvale, CA

About The Position

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. We're looking for a Graduate Software Engineer to join our core engineering team. You'll be building the systems that power our video intelligence platform — services that ingest and process video and sensor data at scale, AI features that let people search hours of footage in plain English, and real-time detections running across a fleet of edge devices. This is not a graduate scheme with a rotation and a training module. You'll be shipping code to production in your first weeks, sitting next to the people who designed the systems you're working on, and getting your work reviewed by engineers who care about making you better. The scope you take on grows as fast as you do.

Requirements

  • A Bachelor's degree in Computer Science or a related field
  • Solid programming fundamentals in at least one modern programme language, and the appetite to pick up the others
  • Evidence that you build things: side projects, internships, open source, hackathons, a game you made that nobody played. Something beyond coursework.
  • Genuine curiosity about AI and where the technology is going
  • The resilience to work in a fast-paced environment where the answer often isn't known yet

Nice To Haves

  • Experience with AI-assisted development tools.

Responsibilities

  • Building AI-native features, end to end, including natural-language video search, real-time detections, and agentic workflows built on multimodal LLMs and computer vision.
  • Developing backend services that handle serious scale, ingesting, processing, and serving video and sensor data in real time, using Golang and Python.
  • Creating user-facing frontends in TypeScript and React, working directly with product.
  • Developing APIs and systems that sit between our ML pipelines and our edge device fleet.
  • Contributing to infrastructure and architecture decisions, learning how these decisions are made by being involved in the process.
  • Working on hard problems in distributed systems, real-time processing, and high availability.
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