Member of Technical Staff, Real Time Systems

The role

You will lead major components of the edge-computing stack with a focus on real-time video streaming. You will build and optimize video streaming pipelines on edge devices and deploy machine learning models to production.

What you will do

• Building and optimizing real-time video streaming pipelines on edge devices
• Developing 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 using C++ and GPU
• Building observability and telemetry

Required qualifications

• 3+ years of experience writing production software in C++ and Python
• Strong experience in video processing and streaming (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)
• Experience with Docker, CI / CD pipelines
• Resilient in challenging and fast-paced environments
• Exceptional written and verbal communication skills in English
• Ability to work in an onsite environment

Nice to have

• Experience in Edge/IoT computing
• Experience in infrastructure management and monitoring (Salt and Grafana)
• Experience interfacing ML models (PyTorch)

Benefits

• Flexible paid time off
• Paid holidays
• Early-stage equity
• Referral bonuses
• Regular team off-sites
• The latest Apple products and unlimited tech stack

About the company

Coram AI is an AI-native platform company reimagining video security using computer vision and multimodal LLMs. Founded by Ashesh Jain and Peter Ondruska, the company is backed by several venture capital firms.