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:

As the Platform Engineering Manager, you will manage deeply technical engineers working on low-level systems, high-performance networking, concurrency, and edge compute. This team builds the core real-time infrastructure that powers distributed edge systems running under strict latency, memory, and reliability constraints. You do not need to be a robotics expert. You do need strong experience with real-time or low-latency systems and the ability to go deep when required.

Responsibilities:

• Define the technical roadmap for the Platform team in partnership with product and leadership

• Lead architecture design for distributed edge systems operating under tight latency and memory constraints

• Manage and prioritize multiple parallel projects while handling production issues and shifting customer needs

• Conduct detailed design and code reviews to ensure high system reliability and performance

• Dive into C++ or low-level system code when necessary to unblock critical issues

• Oversee development of IPC, messaging, and real-time data pipelines

• Build strong engineering processes around observability, testing, and production stability

• Hire, mentor, and grow a high-performance team of systems engineers

• Foster a culture of ownership, technical rigor, and execution discipline

Skills and qualifications:

• 3-5+ years of experience managing engineers working on complex systems

• Bachelor's degree in a relevant field, MS or Ph.D. is a plus

• Strong computer science fundamentals, including algorithms, data structures, operating systems, and networking

• Deep experience building or leading real-time or low-latency distributed systems

• Comfortable reading and writing production C++ code; ability to go low-level when required

• Experience working close to firmware or embedded systems

• Rust experience is a strong plus

• Strong architectural judgment and the ability to review complex system designs

• Proven ability to balance delivery speed with long-term system quality

• Experience with real-time Linux or kernel-level tuning is a plus

• Experience designing pub/sub or distributed messaging systems is a plus

• Experience building systems for constrained edge hardware is a plus

• Experience working on GPU-enabled edge platforms 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:

• 100% Employer-paid medical, dental, vision, and base life insurance

• Flexible paid time off and 10 paid holidays

• 401(k) with both Traditional and Roth options

• Early-stage equity in a rapidly growing company

• Referral bonuses

• Daily team breakfast and dinner, and regular team off-sites

• Free onsite EV charging

• 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.