Member of Technical Staff, Real Time Video Streaming

Coram AI; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible paid time off

Early-stage equity

Referral bonuses

Regular team off-sites

Latest Apple products & unlimited tech

Job summary

Coram AI in Sunnyvale, CA is building an edge-focused platform for real-time video streaming. You will lead major components of the edge stack, ensuring fast, reliable, and intelligent processing across constrained hardware.

The role centers on C++ and Python production software, deploying ML models, and optimizing performance with GPUs. You will also build observability and work closely with infrastructure and data teams to ship impact.

Qualifications

• 3+ years of production software experience in C++ and Python.
• Strong experience in video processing and streaming (GStreamer).
• Experience building real-time data processing apps with low latency and memory footprint.
• Proficiency with profiling tools (e.g., gdb, Nsight, Valgrind, flame graph) to optimize code.
• Experience with Docker and CI/CD pipelines.
• Experience in Edge/IoT computing is a plus.
• Ability to work onsite in a fast-paced environment.

Responsibilities

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

Skills

C++

Python

Video processing

Streaming

Latency optimization

Tools

Docker

CI/CD

GStreamer

Nsight

Valgrind

Flame graphs

Salt

Grafana

PyTorch

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 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.