Member of Technical Staff, Real Time Video Streaming

Coram AI

  • Sunnyvale, California
  • 20 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationSunnyvale, California
    Websitehttps://www.coram.ai/

    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.

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