W2 - Senior Robotics Data Engineer

Position Senior Robotics Data Engineer Main skills Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Employment typ W2 Project duratio 12 months Location Warren, MI Work mode 5 days per week from office Travel No Recruitment process General -> Technical Interview -> Manager Interview -> Client Interview Required start date ASAP Level Senior level   Work authorization statu H1B and TN visa candidates can be considered. Any applicant needs to be on your W2. Description 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.