Join Coram AI to build edge applications and deploy machine learning models in a fast-paced environment focused on video security.
Posted by employer 5 days ago
First seen on Joblaze 5 days ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
Our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the engineer focuses on developing edge applications that process vision data and manage communication layers for devices with limited computing power. Proficiency in C++ and a solid understanding of Linux are essential, along with experience in data structures and algorithms. This position is ideal for candidates with 3-8 years of experience, particularly those familiar with edge computing and machine learning model deployment. Coram AI's team emphasizes clarity and craftsmanship, contributing to a mission-driven environment aimed at transforming video security.
Joblaze insights
Quick facts
From the original posting
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
Ability to work in an onsite environment
Standard company text repeated across Coram AI's postings is omitted here.