Engineering - C++ (Edge)

Socket.dev; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Coram AI is building a cloud-native platform that brings multimodal AI to real-world security and operations. The role focuses on edge computing, vision processing, and scalable ML model deployment across a fleet of devices.

The team values clarity, craftsmanship, and impact, with onsite collaboration and fast-paced delivery in a growing AI company backed by notable investors.

Qualifications

• Bachelor's or Master's degree in Computer Science.
• 3–8 years of experience in data structures, algorithms, and OO programming.
• Strong C++ and Linux proficiency; knowledge of Java, Python, and shell scripting.

Responsibilities

• Build edge applications processing vision data and communication layers for edge devices.
• Deploy ML models to production and optimize platform runtime for performance.
• Maintain C++ codebase and GPU-accelerated pipeline components.
• Develop observability and telemetry for the system.

Skills

C++

Linux

Java

Python

Shell scripting

Edge/IoT

Salt

Grafana

GStreamer

PyTorch

Education

Bachelor's degree in CS

Master's degree in CS

Tools

Salt

Grafana

GStreamer

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.

Responsibilities:

• Build edge applications processing vision data and communication layers for the compute-constrained edge devices

• Deploy machine learning models to production, optimizing the platform runtime for maximum performance

• Operating largely C++ code with parts of the pipeline running on GPU

• Build observability and telemetry

Skills and qualifications:

• A Bachelor's or Master's degree in Computer Science

• 3-8 years of experience in data structures, algorithms, and object-oriented

• Strong programming in C++ and strong understanding of Linux

• Knowledge of any other development language, including Java, Python, and Shell scripts

• Edge/IoT computing experience (we have a fleet of deployed edge computers) is a plus

• Infrastructure management experience (we use Salt) is a plus

• Monitoring experience (we use Grafana) is a plus

• Video processing & streaming experience (we use Gstreamer) 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'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.