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Senior Robotics Data Engineer

  • Michigan, Warren

  • 03/05/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    The Senior Robotics Data Engineer supports large-scale robotics initiatives by designing and implementing end-to-end data systems that enable generalized and scalable AI perception and grasping models.
    This role is part of an advanced development team focused on powering robotics capabilities through real-world and simulated data workflows.
    The engineer will build and maintain robotic data pipelines, support high-throughput data capture, enable annotation and synthetic data generation processes, and manage datasets used for training and evaluating AI models across diverse manufacturing contexts.

    Key Responsibilities
    • Design and implement scalable data pipelines for large-scale robotic datasets, including vision, depth, tactile, and force/torque data.
    • Build infrastructure to support high-throughput data capture from real robots and simulation environments.
    • Develop and deploy semi-supervised or self-supervised data labeling workflows to reduce manual annotation costs.
    • Enable simulation-to-real (Sim2Real) workflows through domain randomization and synthetic data generation.
    • Own data versioning, metadata management, 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.
    • Support lifecycle management of multimodal robotic datasets.

    Required Qualifications
    • 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.
    • 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.
    • Strong systems-thinking mindset and cross-functional collaboration skills.

    Preferred Qualifications
    • Experience supporting robotics perception, grasping, or manipulation AI.
    • Familiarity with robotics simulation platforms such as Isaac Sim and synthetic data generation workflows.
    • Experience working with large-scale annotation tools and data labeling pipelines.

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