Coram AIMember of Technical Staff, Real Time Video Streaming
Sunnyvale · Full-time
Why join Coram AI?
Existing cameras are everywhere, and AI can finally make their footage searchable, which is why Coram AI could become the operating layer for physical security. Its product already targets schools, healthcare and banking, and a Sunnyvale team of 51-100 is building out the platform. 8VC and Battery Ventures lead its $35M Series B, bigger than 39% of recent rounds, and 26 new roles in 30 days show the company is pushing hard.
JustBacked's take, based on Coram AI's own site and its funding and hiring data.
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, ML, and high-performance edge computing. You’ll lead major components of our edge-computing stack, with a core focus on real-time video streaming, ensuring Coram Point remains fast, reliable, and intelligent.
Responsibilities:
Building and optimizing real-time video streaming pipelines on our edge devices, along with the applications and communication layers that process vision data on compute-constrained hardware
Deploying machine learning models to production
Optimizing the platform runtime for maximum performance. This is largely C++ code with parts of the pipeline running on GPU
Building observability and telemetry
Qualifications:
3+ years of experience writing production software in C++ and Python
Strong experience in video processing and streaming (we use GStreamer)
Experience building applications processing real-time data and optimizing them for latency and memory
Experience using various profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize the code
Experience with Docker, CI / CD pipelines
Experience in Edge/IoT computing (we have a fleet of deployed edge computers) is a plus
Experience in infrastructure management and monitoring (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 in an onsite environment - we move quicker when we’re in the same room
What we offer:
Flexible paid time off and paid holidays
Early-stage equity in a rapidly growing company
Referral bonuses
Regular team off-sites
The latest Apple products and unlimited tech stack (Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, etc.)
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.