Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
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.
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).
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