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At Coram AI, we reward impact. We offer competitive pay, meaningful equity, and benefits that let high-performers live well and win big. When our team over-delivers, the upside is shared.

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 engineers who operate at the intersection of robotics, real-time systems, and deep learning. This role focuses on deploying high-performance vision and multimodal models onto robotic platforms where latency, reliability, and hardware constraints matter.

What You’ll Do

• Deploy deep learning models on edge devices and in the cloud for real-time inference

• Fine-tune models on proprietary datasets and manage dataset versioning, labeling, and evaluation

• Write high-quality C++ or Rust code for deterministic, low-latency execution

• Build cloud pipelines that process millions of images and video streams in near real time

• Perform model surgery in PyTorch and TensorRT, including pruning, quantization, and graph optimization

• Optimize GPU utilization, memory footprint, and inference throughput

• Build and maintain middleware for real-time IPC between perception, planning, and control systems

• Profile production systems to diagnose memory, compute, and concurrency bottlenecks

• Design rigorous evaluation loops to measure model accuracy, latency, and robustness in field conditions

What We’re Looking For

• Strong experience building real-time robotics systems that span software and hardware

• Experience deploying neural networks under strict latency constraints where milliseconds matter

• Deep understanding of GPU memory management, batching strategies, and compute optimization

• Strong debugging skills using profilers and low-level performance tools

• Solid experience with PyTorch; experience with TensorRT and ONNX is highly desirable

• Deep expertise in C++ preferred; strong Rust or Python experience also welcome

• Experience building production systems that must be reliable, observable, and fault-tolerant

Bonus Points

• Experience with vLLM, SGLang, or high-performance LLM inference engines

• Experience deploying multimodal models or LLMs in robotics contexts

• Experience with distributed systems, structured logging, and observability at scale

• Familiarity with distributed pubsub, real-time Linux, or embedded GPU platforms

• Experience working with NVIDIA Jetson, CUDA kernels, or custom accelerators

Skills and qualifications

• BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field

• 3+ years of experience building robotics, perception, or real-time systems (startup or high-performance production environments strongly preferred)

• Strong programming skills in C++ (preferred) with experience in Rust or Python

• Experience deploying deep learning models in production, particularly in environments with strict latency constraints

• Hands-on experience with PyTorch for training, fine-tuning, and modifying deep learning models

• Experience deploying models to edge devices or embedded systems where compute and memory resources are constrained

• Strong debugging and profiling skills using low-level performance tools and system profilers

• Experience building reliable, observable, and fault-tolerant production systems

• Excellent communication skills (written and verbal) in English

• Passion for building high-performance systems at the intersection of robotics, AI, and real-time infrastructure

• 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.

Compensation Range: $165K - $210K