Member of Technical Staff, Real Time Systems at Coram AI (Bengaluru, India)
Coram AI· Bengaluru, India·
Role details
Summary
The Core Engineer will build and optimize the edge computing stack for Coram Point, focusing on processing vision data and deploying machine learning models. The role involves writing C++ code, optimizing platform runtime, and building observability tools for a cloud-native platform.
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: Our stack cuts across many technologies (front-end, backend, edge-computing, machine learning), and you will be responsible for a large part of our edge-computing stack powering Coram Point.
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
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
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.)
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.
Why work at Coram AI
- Cutting-Edge AI Work: Engineering roles involve applying state-of-the-art computer vision, NLP, and autonomous agent technology to real-world physical security problems.
- High Growth Stage: Series B, 4x revenue growth, 128% headcount growth YoY — employees join early in a hypergrowth trajectory.
- Open Positions (20 active): Roles across engineering (Infrastructure, AI, C++), product management, sales, marketing, growth, and strategic finance.
- Founding Team Pedigree: Co-founders from Lyft’s autonomous driving division (acquired by Toyota/Woven) and Zoox — strong technical leadership and autonomy/AI expertise.
- Culture: Described as an "AI-native" culture — the company is built by engineers and researchers who value automation, efficiency, and modern technology.
- Hybrid/Remote: Based in Sunnyvale, CA; roles may offer hybrid or remote flexibility depending on position.
- Key Perks: Opportunity to shape the physical security industry with AI, work on mission-critical safety technology used by schools and hospitals, and contribute to a platform that helps prevent incidents rather than just documenting them.