Member of Technical Staff, Real Time Systems

Coram AI; Sunnyvale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Coram AI in Sunnyvale is pioneering an edge-focused platform that uses real-time video streaming, computer vision and AI to help customers move faster, safer, and with better visibility across sites.

You will own major edge components, ensuring fast, reliable performance across a distributed fleet, and you’ll shape how the platform processes vision data on constrained hardware.

Qualifications

• 3+ years of production software in C++ and Python.
• Expertise in video processing and streaming (GStreamer).
• Experience building real-time data processing apps with latency and memory optimization.
• Familiar with profiling tools (GDB, Nsight, Valgrind, flame graphs) and code optimization.
• Experience with Docker and CI/CD pipelines.
• Edge/IoT computing experience is a plus.
• Infrastructure monitoring with Salt and Grafana is a plus.
• Experience interfacing ML models (PyTorch) is a plus.
• Exceptional written and verbal English and the ability to influence at all levels.
• Onsite collaboration is preferred.

Responsibilities

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

Skills

C++ production

Python production

Video streaming

Real-time data

Profiling tools

Docker CI/CD

Edge/IoT

English communication

Onsite collaboration

Tools

GStreamer

Nsight

Valgrind

GDB

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 codeExperience 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

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.