What are the responsibilities and job description for the Senior Robotics Data Engineer - Only W2 position at Saransh Inc?
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
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.
- 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.
- 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).