AI Research Engineer - Robotics
External
Coram-ai · SunnyvalePrepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
About 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
Requirements
- 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
Benefits
Additional Information
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.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at coram-ai? Share your experience