Robotics Data Infrastructure Engineer

Mind Robotics Inc.; Palo Alto, Northern (CA, KY); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Mind Robotics Inc. in Palo Alto is seeking a Data Infrastructure Engineer to build and operate pipelines turning raw sensor and demonstration data into training-ready datasets for robotics models.

You will own end-to-end data ingestion, processing, quality filtering, and dataloader design, collaborating with researchers to scale data systems. You will work on distributed processing, storage design for multimodal datasets, and implement robust data quality and lineage controls as the platform

Qualifications

• 2+ years of software engineering with data pipelines experience.
• Experience with large-scale data ingestion and processing.
• Familiarity with multimodal sensor data.
• Ability to write production-grade Python code.
• Strong communication and collaboration with researchers.
• Experience with data quality and annotation workflows.

Responsibilities

• Build and scale ingestion pipelines for high-volume, high-dimensional sensor data.
• Build and maintain data quality and curation systems, including both manual review workflows and auto-labeling.
• Contribute to storage and retrieval design for large-scale multimodal datasets, including format choices and versioning/lineage.
• Build and operate distributed processing infrastructure (batch and streaming).
• Debug production issues in live data pipelines — data corruption, schema drift, backpressure, and failures that only show up at scale.
• Work with modeling/research partners to understand data quality, format, and structure needs, and translate them into working pipelines.
• Participate in design and code review across the data infrastructure stack.

Skills

Python

Data pipelines

Distributed data

Back-end systems

Data quality

Communication

Tools

Spark

Ray

Dask

Flink

Airflow

Dagster

Prefect

Job description

Mind Robotics Inc. in Palo Alto is seeking a Data Infrastructure Engineer to build and operate pipelines turning raw sensor and demonstration data into training-ready datasets for robotics models.

You will own end-to-end data ingestion, processing, quality filtering, and dataloader design, collaborating with researchers to scale data systems. You will work on distributed processing, storage design for multimodal datasets, and implement robust data quality and lineage controls as the platform