Data Architect, Robotics

THE ROLE At Mind Robotics, we’re building generalized physical AI—robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. High-quality data is the foundation of everything we do, from training core models to evaluating real-world performance. We’re looking for a Data Architect to design and build our data engine — enabling scalable data pipelines, high-quality datasets, and fast iteration across modeling and robotics teams. WHAT YOU’LL DO - Design and implement scalable pipelines for collecting, processing, and preparing data for model training - Partner closely with modeling teams to ensure data is structured for maximum training velocity - Develop systems for data storage, retrieval, and workflow orchestration - Manage cloud compute and infrastructure supporting large-scale data processing - Enable tight feedback loops between data, models, and real-world performance - Design systems for automated data validation, quality control, and labeling workflows - Improve consistency, reliability, and scalability of datasets - Build pipelines and tools for querying, visualizing, and analyzing large datasets - Continuously improve data pipelines to reduce bottlenecks and latency WHAT WE’RE LOOKING FOR - Proven experience building scalable data pipelines and infrastructure - Deep understanding of data processing, storage, and workflow orchestration - Experience working across the full data lifecycle: ingestion, processing, validation, and dataloading - Ability to design systems that support both training and evaluation needs - Experience managing cloud-based data infrastructure and compute workflows - Familiarity with large-scale data processing systems - Experience building or scaling data quality, validation, and labeling pipelines - Strong intuition for what makes high-quality training data - Experience building tools for data exploration, querying, and visualization - Strong proficiency in Python programming NICE TO HAVE - Experience with robotics, multimodal data, or embodied AI systems - Experience working closely with ML or research teams