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 a small, 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.

We are looking for a deeply technical software engineer to build high-performance, real-time software that runs on edge devices under strict latency and memory constraints. This role is focused on deterministic execution, distributed system design, and low-level performance optimization. You do not need to work on deep learning research. You will build the infrastructure and runtime systems that make real-time robotics possible.

What You’ll Do

Design and implement low-latency distributed systems running on edge hardware
Write high-quality C++ or Rust code with strong attention to memory safety, determinism, and performance
Build real-time data pipelines for high-throughput sensor and video streams
Design IPC mechanisms between perception, control, and device subsystems
Optimize memory layout, CPU utilization, and concurrency patterns
Debug complex production issues involving race conditions, memory fragmentation, and performance bottlenecks
Profile systems using low-level tools to eliminate latency spikes and tail latency issues
Build reliable pub/sub and message-passing architectures under unreliable network conditions
Ensure systems remain stable under constrained compute, limited memory, and high I/O load

What We’re Looking For

Strong background in systems programming with C++ preferred; Rust experience highly valued
Deep understanding of multithreading, lock-free structures, and concurrency primitives
Experience building distributed systems or real-time processing pipelines
Strong algorithmic foundation and solid understanding of data structures
Experience debugging memory issues using profilers, sanitizers, and performance tracing tools
Familiarity with Linux internals, networking stacks, and system-level optimization
Experience working on embedded platforms or edge compute environments

Bonus Points

Experience with real-time Linux or low-latency kernel tuning
Familiarity with high-throughput networking or zero-copy architectures
Experience building systems on NVIDIA Jetson or similar edge hardware
Knowledge of CUDA or GPU memory management
Experience designing resilient pub/sub architectures

Skills and qualifications:

BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field
3+ years of experience building systems-level or performance-critical software (experience with edge systems, robotics infrastructure, or real-time platforms highly preferred)
Strong programming skills in C++ (preferred) with experience in Rust highly valued
Deep understanding of multithreading, concurrency primitives, and lock-free data structures
Excellent communication skills (written and verbal) in English
Passion for building high-performance infrastructure that powers real-time robotics systems
Resilient and adaptable in challenging, fast-paced startup environments
Ability to work in an onsite environment — we move faster when we're in the same room

What we offer:

Competitive compensation package
100% Employer-paid medical, dental, vision, and base life insurance
Flexible paid time off and 9 paid holidays
401(k) with both Traditional and Roth options
Equity in a rapidly growing company
Referral bonuses
Daily team dinners and regular team off-sites to build connection and momentum
The latest Apple tech and unlimited tools so you can win
Unlimited Cursor and Claude Code credits
Direct exposure to our AI-native GTM machinery

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 Battery Ventures, Mosaic, and 8VC, have raised over $30M, 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.

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