Member of Technical Staff, Real Time Video Streaming

Coram; Sunnyvale (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Flexible paid time off

Early-stage equity

Referral bonuses

Team off-sites

Latest Apple products

Job summary

Coram AI is transforming video security with a cloud-native platform that blends computer vision and AI. You will lead major components of our edge‑computing stack, focusing on real-time video streaming, ensuring Coram Point remains fast, reliable and intelligent.

The role spans frontend, backend, ML, and edge computing, with opportunities to deploy models and optimize pipelines. Ideal candidates have 3+ years in production C++/Python, experience with video processing (GStreamer), Docker, and

Qualifications

• 3+ years writing production software in C++ and Python.
• Experience with video processing/streaming (GStreamer).
• Experience building real-time data processing apps with latency/memory optimization.
• Experience profiling with tools like gdb, Nsight, Valgrind, flame graphs.

Responsibilities

• Build and optimize real-time video streaming pipelines on edge devices.
• Deploy machine learning models to production.
• Optimize platform runtime for maximum performance (C++ core, GPU).
• Build observability and telemetry.

Skills

C++

Python

Video processing

Latency optimization

Docker

CI / CD

Edge/IoT

GStreamer

Profiling tools

ML models

PyTorch

English communication

Tools

GStreamer

Docker

CI/CD pipelines

Nsight

Valgrind

Salt

Grafana

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 PeterOndruska (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.