Data ArchitectAt 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 DoDesign and implement scalable pipelines for collecting, processing, and preparing data for model trainingPartner closely with modeling teams to ensure data is structured for maximum training velocityDevelop systems for data storage, retrieval, and workflow orchestrationManage cloud compute and infrastructure supporting large-scale data processingEnable tight feedback loops between data, models, and real-world performanceDesign systems for automated data validation, quality control, and labeling workflowsImprove consistency, reliability, and scalability of datasetsBuild pipelines and tools for querying, visualizing, and analyzing large datasetsContinuously improve data pipelines to reduce bottlenecks and latencyWhat We're Looking ForProven experience building scalable data pipelines and infrastructureDeep understanding of data processing, storage, and workflow orchestrationExperience working across the full data lifecycle: ingestion, processing, validation, and dataloadingAbility to design systems that support both training and evaluation needsExperience managing cloud-based data infrastructure and compute workflowsFamiliarity with large-scale data processing systemsExperience building or scaling data quality, validation, and labeling pipelinesStrong intuition for what makes high-quality training dataExperience building tools for data exploration, querying, and visualizationStrong proficiency in Python programmingNice to HaveExperience with robotics, multimodal data, or embodied AI systemsExperience working closely with ML or research teams