Robotics Data Engineer

Role: Robotics Data Engineer
Location: Warren, MI
FTE

Job Description

• 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.

• Proven experience building production-grade data pipelines for ML/AI systems.

• 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.

Roles & Responsibilities

• Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).

• Build infrastructure to support high-throughput data capture from real robots and simulation environments.

• Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost.

• Enable simulation-to-real (Sim2

Real) data workflows, including domain randomization and synthetic data generation.

• Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.

• Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.

• Establish data quality metrics that directly correlate with perception and grasping performance