Senior Robotics Data Engineer - W2

Role

Senior Robotics Data Engineer

Warren, MI (Onsite from Day
1)

W2 Contract

ML/AI systems, Python, Tensor Flow and/or PyTorch, Power BI, Azure data services

• Design and implement scalable data pipelines for large‑scale robotic datasets (vision, depth, tactile, force/torque).
• Build infrastructure for high‑throughput data capture from real robots and simulation environments.
• Develop and deploy semi‑supervised/self‑supervised data labeling workflows to minimize manual annotation costs.
• Enable simulation‑to‑real (Sim2
  
  Real) data workflows, including domain randomization and synthetic data generation.
• Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
• Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
• Establish data quality metrics that correlate with perception and grasping performance.

• Minimum 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.

• Direct experience supporting robotics perception, grasping, or manipulation AI.
• Familiarity with robotics simulation platforms (e.g., 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 (Power BI, Azure data services).