AI Research Engineer - Robotics

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 an AI Research Engineer, you will focus primarily on deploying high-performance vision and multimodal models onto robotic platforms where latency, reliability, and hardware constraints matter.



Responsibilities:

- 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



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)

- 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

- Experience with vLLM, SGLang, or high-performance LLM inference engines is a plus

- Experience deploying multimodal models or LLMs in robotics contexts is a plus

- Experience with distributed systems, structured logging, and observability at scale is a plus

- Familiarity with distributed pubsub, real-time Linux, or embedded GPU platforms is a plus

- Experience working with NVIDIA Jetson, CUDA kernels, or custom accelerators 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.)

- 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 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.