Member of Technical Staff, Real Time Video Streaming
At a glance
Senior Video Production role at Coram AI. Sunnyvale · full-time.
Pay not stated Video Production salary
growthroles summary, based on the employer's posting.
What you'll do
- Build and tune streaming pipelines on edge devices, including the apps and communication layers handling vision data on limited compute
- Put machine-learning models into production and improve the platform runtime, with much of the work in C++ and some GPU processing
- Create observability and telemetry for the edge-computing platform
What you bring
- At least three years building production software with C++ and Python
- You have strong experience with video processing and streaming, plus real-time systems tuned for low latency and memory use
- You have used profiling tools such as gdb, Nsight or Valgrind to find and improve code performance
- You have worked with Docker and CI/CD pipelines
- You communicate exceptionally well in written and spoken English and can influence people at different levels
Who this fits
This senior, hands-on engineering role suits someone focused on real-time video streaming, performance, and edge computing. You’ll work on-site in Sunnyvale.
From the employer
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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