Co-op, Robotics Research – Data Engineering (OTTO at Rockwell Automation)
Core
Build data tooling and pipelines to integrate robot and perception data into a platform supporting dataset curation, model evaluation, and active learning loops for autonomous operations.
Role type
Co-op Data Engineer (Robotics Research)
Builds
Data pipelines, curated datasets, and model evaluation workflows for perception and world models.
Domain
Industrial Automation / Robotics / AI
Deliverable
production ML models
Required skills
Data pipeline development, dataset curation, system programming, machine learning frameworks, robotics data handling
Preferred skills
Data processing and quality mitigation, applied robotics and vision, robotics hardware/sensors, software engineering, PyTorch/Tensorflow/TensorRT/HuggingFace, simulation environments, ROS/ROS2, state estimation, cloud storage, containerization, academic research
Technologies
PyTorch, Tensorflow, TensorRT, HuggingFace, ROS, ROS2, Azure, AWS, Docker, Apptainer
Responsibilities
Build data tooling and pipelines for robot/perception data integration; Collect robot and perception datasets using LiDAR, cameras, and sensors; Organize perception datasets for model training; Write clean, scalable code using modern system programming languages; Document best practices and research through technical reports and publications.
Seniority
Co-op (Undergraduate/Graduate Student)
