Senior Robotic Data Engineer

Overview

Location:

Warren, MI - 5 days onsite per week

You will architect and work on end-to-end robotic data systems, spanning real-world capture, simulation-generated data, annotation, curation, and lifecycle management. Your work will directly power perception, grasping, and manipulation AI models, enabling rapid scaling across diverse part geometries and manufacturing contexts.

(Responsibilities are derived from the original description.)

• Architect and develop end-to-end robotic data systems supporting real-world data capture, simulation-generated data, annotation, curation, and lifecycle management.
• Enable AI models for perception, grasping, and manipulation; scale across diverse part geometries and manufacturing contexts.

• 3+ years of experience in data engineering, machine learning systems, robotics, or related fields.
• Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
• Strong hands-on experience with Python-based data tooling.
• Experience working with large, complex, multimodal datasets.
• Systems thinking mindset with strong cross-functional collaboration skills.

• Direct experience supporting robotics perception, grasping, or manipulation AI.
• Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation.
• Experience with data labeling tools and annotation workflows at scale.
• Hands-on knowledge of Tensor Flow and/or PyTorch from a data systems perspective.
• Experience with Microsoft data ecosystems (e.g., Power BI, Azure data services).
• Exposure to self-supervised or weakly supervised learning techniques.