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.
The role:
Coram’s platform cuts across front-end, backend, machine learning, and high-performance edge computing. You’ll own a large part of our edge-computing stack, with a core focus on real-time video streaming and system reliability, keeping Coram Point fast, reliable, and intelligent across our fleet of deployed devices.
Responsibilities:
•Build and optimize real-time video streaming pipelines on our edge devices, along with the applications and communication layers that process vision data on compute-constrained hardware
•Deploy machine learning models to production and optimize the platform runtime for maximum performance. This is largely C++ code, with parts of the pipeline running on GPU
•Bring up and harden Linux-based hardware, and diagnose issues across the BIOS/UEFI, operating system, and device layers
•Build observability and telemetry so we can spot and fix problems across the fleet
Qualifications:
•Bachelor’s or Master’s degree in Computer Science or a related field
•3 to 8 years of experience writing production software, with strong fundamentals in data structures, algorithms, and object-oriented programming
•Strong programming skills in C++ (Go or Rust also considered) and a deep understanding of Linux
•Experience building applications that process real-time data and optimizing them for latency and memory
•Hands-on experience bringing up Linux-based hardware and troubleshooting interactions between BIOS/UEFI, the operating system, and devices
•Experience diagnosing system hangs, crashes, deadlocks, or intermittent failures using logs, debuggers, crash dumps, tracing and profiling tools (e.g. gdb, Nsight, Valgrind, flame graphs)
•Ability to use Python or shell scripting to automate diagnostics, testing, and operational tasks
•Experience with Docker and CI/CD pipelines
•Video processing and streaming experience (we use GStreamer) is a strong plus
•Edge/IoT computing experience is a plus
•Infrastructure management and monitoring experience (we use Salt and Grafana) is a plus
•Experience interfacing ML models (we use PyTorch) is a plus
•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 on-site. We move quicker when we’re in the same room
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.