About the role
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