Member of Technical Staff, Real Time Video Streaming
Coram · coram.ai
SunnyvaleOn-siteLead / Manager3+ yrs
Subscribers got this job on 15 October 2026.
New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first
The job in short
Member of technical staff in real-time video streaming.
PythonC++DockerMachine learningLLMsPyTorch
Details
- Found
- 12 d ago · posted 2026-10-14
- Location as listed
- Sunnyvale
- Role
- Software Engineer
- Source
- The company’s own careers site
Full 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.
Software Engineer jobs in the United States · All Coram jobs