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Coram AI

On-prem AI platform for video security

Member of Technical Staff - Real Time Video Streaming

Software EngineeringConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • At least 3 years of experience writing production software in C++ and Python.
  • Strong experience in video processing and streaming, including GStreamer.
  • Experience building applications that process real-time data and optimizing them for latency and memory.
  • Experience using profiling tools such as gdb, Nsight, Valgrind, and flame graphs to optimize code.
  • Experience with Docker and continuous integration and continuous delivery (CI/CD) pipelines.
  • Ability to work in an onsite environment.
  • Resilience in challenging and fast-paced environments.
  • Exceptional written and verbal communication skills in English, with the ability to influence at all levels.

Responsibilities

  • Build and optimize real-time video streaming pipelines on edge devices, along with the applications and communication layers that process vision data on compute-constrained hardware.
  • Deploy machine learning models to production.
  • Optimize the platform runtime for maximum performance, primarily in C++ code with parts of the pipeline running on GPU.
  • Build observability and telemetry.

Desired Qualifications

  • Experience in edge/IoT computing, including fleets of deployed edge computers.
  • Experience in infrastructure management and monitoring, including Salt and Grafana.
  • Experience interfacing with machine learning models, including PyTorch.

About the Company

Coram AI

On-prem AI platform for video security

Coram AI provides an AI-powered security platform that turns existing IP cameras and related systems into a unified on-premises solution for video security, access control, emergency response, and visitor management. It runs AI at the edge on NVIDIA GPUs so sensitive video stays on-site, while offering natural-language search and Deep Investigation agents to analyze months of video, access logs, and visitor activity across locations. It differentiates itself with edge-native processing and cross-system analytics that keep data on-site and support large multi-site deployments (1,500+ locations). Its goal is to give organizations a scalable, AI-assisted security operations platform that delivers fast, cross-location insights without moving sensitive data to the cloud.

Company size
51-200
Company stage
Series B
Total funding
$54.1M
Headquarters
Sunnyvale, CA
Founded
2022

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