Research Engineer
Core
Design and build experimental systems connecting digital models, physical processes, and intelligent automation to advance manufacturing workflows and technologies.
Role type
Research Engineer (Applied AI & Manufacturing)
Builds
Integrated software and hardware pipelines for experimentation, prototyping, and physical testing in manufacturing contexts.
Domain
Manufacturing, Engineering, Artificial Intelligence, Robotics, Automation
Deliverable
production ML models | product features | research | infrastructure
Required skills
Hands-on experimentation with manufacturing systems, robotics, automation, and physical prototyping; AI and data-driven methods for engineering contexts; simulation and digital twin workflows; building integrated software-hardware systems; working with large sensor and production datasets.
Preferred skills
Physics-informed AI and machine learning for physical systems; industrial data protocols (MQTT, MTConnect, OPC UA); robotics, machine vision, and additive manufacturing; translating research into industrial IP.
Technologies
AI, robotics, simulation, digital twins, machine perception, additive manufacturing, CNC, industrial automation, MQTT, MTConnect, OPC UA, IoT.
Responsibilities
Design and run hands-on experiments to advance manufacturing processes; develop workflows connecting design, simulation, and production data; apply AI-assisted workflows for process planning and anomaly detection; build integrated pipelines for physical prototyping; evaluate emerging technologies in manufacturing; collaborate with researchers and industry partners; translate research insights into prototypes and scalable technologies.
Seniority
Mid-Senior, hands-on IC