Senior Robotics Data Engineer (Contractor) Work Arrangement: Onsite - Warren, MI --- Position Overview Seeking a Senior Robotics Data Engineer to join the Autonomous Robotics Center (ARC) Advanced Development team. This role is pivotal to a large-scale robotics initiative, enabling scalable AI perception and grasping solutions across thousands of manufacturing parts. The successful candidate will architect and manage end-to-end robotic data systems, including real-world capture, simulation-generated data, annotation, curation, and lifecycle management. Your contributions will directly support AI models for perception, grasping, and manipulation, facilitating rapid scaling across diverse manufacturing contexts. --- Key Responsibilities · 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 (Sim2Real) 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. --- Required Qualifications · 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. · Systems thinking mindset and strong cross-functional collaboration skills. --- Preferred Qualifications · 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 TensorFlow and/or PyTorch from a data systems perspective. · Experience with Microsoft data ecosystems (Power BI, Azure data services). · Exposure to self-supervised or weakly supervised learning techniques. | 
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