Data Platform Engineer — Robotics ML Pipelines

Mind Robotics; Palo Alto (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Mind Robotics is seeking a Software Engineer to join the data platform team as one of the founding engineers. You will build pipelines that ingest data from multiple sources and harden systems for scale, turning raw captures into training-ready data for models.

You will own data quality, implement validation, and collaborate with research and annotation partners to improve labeling throughput and model performance. This is early-stage, hands-on work with observable impact on robot behavior.

Qualifications

• 2+ years of software engineering experience building production systems.
• Strong programming fundamentals and comfort across the stack — services, data pipelines, and applied ML tooling.
• Experience with real-time or large-scale data pipelines, ML data workflows, computer vision, or data infrastructure.
• Bias for ownership: taken features or systems from prototype to production and supported them in the field.
• Clear communication and collaboration with product, research, and annotation/operations partners.
• Hands‑on experience with sensor data (video, depth, IMU, force/torque) and related infrastructure is a plus.
• Experience with streaming or near-real-time data pipelines is a plus.
• Familiarity with ML data workflows (datasets, labeling, evaluation) is a plus.
• Experience running or integrating computer vision or vision-language models (e.g., depth, pose/hand tracking, open‑vocabulary detection, auto-labeling) is a plus.

Responsibilities

• Build data ingestion pipelines from multiple sources, including field capture and teleop stacks.
• Build automatic data validation systems that catch quality issues before data reaches annotation or training.
• Build and improve annotation ingestion, tooling, and workflows to increase labeling efficiency and throughput.
• Own data quality and diversity — build systems and metrics that tell us what data we have, what's missing, and where to focus collection.
• Explore and build automated annotation methods, including running computer vision and vision-language models for tasks like depth estimation, hand tracking, and auto-labeling, to reduce manual labeling load over time.
• Support the platform — debug issues in live pipelines, instrument for observability, and work directly with research and annotation partners who depend on your software.

Skills

Software engineering

Data pipelines

ML tooling

Computer vision

Sensor data

Job description

Mind Robotics is seeking a Software Engineer to join the data platform team as one of the founding engineers. You will build pipelines that ingest data from multiple sources and harden systems for scale, turning raw captures into training-ready data for models.

You will own data quality, implement validation, and collaborate with research and annotation partners to improve labeling throughput and model performance. This is early-stage, hands-on work with observable impact on robot behavior.