Jobs via Dice · 20 hours ago
Robotics Data Engineer :: Onsite
Dice is the leading career destination for tech experts, and they are seeking a Senior Robotics Data Engineer to join the Autonomous Robotics Center's Advanced Development team. This role is crucial for a large-scale robotics initiative, focusing on the development of end-to-end robotic data systems that enhance AI perception and grasping solutions.
Computer Software
Responsibilities
Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque)
Build infrastructure to support high-throughput data capture from real robots and simulation environments
Develop and deploy semi-supervised / self-supervised data labeling workflows to reduce manual annotation cost
Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation
Own data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing
Partner closely with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs
Establish data quality metrics that directly correlate with perception and grasping performance
Qualification
Required
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 with strong cross-functional collaboration skills
Preferred
Direct experience supporting robotics perception, grasping, or manipulation AI
Familiarity with robotics simulation platforms such as 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 (e.g., Power BI, Azure data services)
Exposure to self-supervised or weakly supervised learning techniques
Company
Jobs via Dice
Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want.
Funding
Current Stage
Early StageCompany data provided by crunchbase