Join Coram AI to lead real-time video streaming components in a fast-paced, innovative team focused on enhancing security through AI.
Posted by employer 23 hours ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
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.
Benefits
Joblaze summary
In this role, the Member of Technical Staff will focus on building and optimizing real-time video streaming pipelines for edge devices, ensuring high performance and reliability. Key skills include proficiency in C++ and Python, experience with video processing using GStreamer, and familiarity with machine learning model deployment. This position is ideal for someone with at least three years of software development experience, particularly in fast-paced environments. The team emphasizes collaboration and values each member's contributions to the company's mission.
Joblaze insights
Quick facts
From the original posting
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
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.)
Standard company text repeated across Coram AI's postings is omitted here.