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. 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.

Requirements

Must-haves

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.
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
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
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythondocker

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Vision

Paid Time Off