Data Architect, Robotics

Mind Robotics; Palo Alto (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Mind Robotics is building generalized physical AI for real-world industrial environments. We seek a Data Architect to design a data engine enabling scalable pipelines, high-quality datasets, and fast iteration across modeling and robotics teams.

You will design and implement data collection, processing, storage, and workflow systems, while managing cloud compute for large-scale data workloads and ensuring data quality and labeling workflows are integrated into the pipeline.

Qualifications

• Proven experience building scalable data pipelines and infrastructure.
• Deep understanding of data processing, storage, and workflow orchestration.
• Experience with ingestion, processing, validation, and dataloading.
• Ability to design systems for both training and evaluation needs.
• Experience managing cloud-based data infrastructure and compute workflows.
• Familiarity with large-scale data processing systems.
• Experience building data quality, validation, and labeling pipelines.
• Strong intuition for high-quality training data.
• Experience building tools for data exploration, querying, and visualization.
• Strong proficiency in Python.

Responsibilities

• Design and implement scalable pipelines for collecting, processing, and preparing data for model training.
• Partner with modeling teams to ensure data is structured for training velocity.
• Develop systems for data storage, retrieval, and workflow orchestration.
• Manage cloud compute and infrastructure supporting large-scale data processing.
• Enable 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.

Skills

Data pipelines

Python programming

Cloud infrastructure

Data quality & validation

Data storage & retrieval

Workflow orchestration

Big data processing

Model training data readiness

Job description

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