Robotics Data Engineer
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Job Location:
Warren, OH - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
Position: Senior Robotics Data Engineer
Location: Warren Michigan
Duration: 12Months with possible extensions
Main Skills: Senior Robotics Data Engineer (ML/AI systems Python TensorFlow and/or PyTorch Power BI Azure data services)
Position Overview:
Client is 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.
- Masters 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.
