Data Infrastructure Engineer

Mind Robotics is building Physical AI and robots for real-world industrial deployment. The Data Infrastructure Engineer will build and operate ingestion, processing, quality, curation, storage, and retrieval pipelines that transform multimodal robot sensor and demonstration data into training-ready datasets, while debugging production systems and collaborating with research and modeling partners.

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

Preferred

Experience with workflow orchestration tools (e.g., Airflow, Dagster, Prefect) is a plus

Experience with streaming ingestion for high-volume, near-real-time data is a plus

Experience building automated data quality/curation systems (statistical filtering, anomaly detection, deduplication, or using ML models in an annotation/filtering pipeline) is a plus

Experience with robotics- or embodied-AI-specific data (multi-embodiment datasets, teleoperation/demonstration data, egocentric video) is a plus

Workflow Orchestration

Airflow

Dagster

Prefect

Streaming Data Ingestion

High-Volume Data Processing

Near-Real-Time Data Processing

Automated Data Quality

Data Curation

Statistical Filtering

Anomaly Detection

Data Deduplication

Machine Learning Models

Annotation Pipelines

Filtering Pipelines

Robotics Data

Embodied AI Data

Multi-Embodiment Datasets

Teleoperation Data

Demonstration Data

Egocentric Video

Company

Industrial robotics for factory deployment

Palo Alto, California, USA

https://www.mindrobotics.com/

Founded in 2025

51-200 employees

Qualifications

2+ years of software engineering experience, with some exposure to data pipelines, data engineering, or backend systems

Strong programming fundamentals in Python, with the ability to write performant, production-grade data processing code

Experience with at least one distributed data processing framework (e.g., Spark, Ray, Dask, or Flink), or strong fundamentals and willingness to ramp up quickly

Familiarity with data storage concepts — object storage, data lake table formats, and warehouse vs. lake tradeoffs

Bias for ownership: you've taken features or systems from prototype to production

Clear communicator who collaborates well with research/modeling partners and more senior teammates

Experience with workflow orchestration tools (e.g., Airflow, Dagster, Prefect) is a plus

Experience with streaming ingestion for high-volume, near-real-time data is a plus

Experience building automated data quality/curation systems (statistical filtering, anomaly detection, deduplication, or using ML models in an annotation/filtering pipeline) is a plus

Experience with robotics- or embodied-AI-specific data (multi-embodiment datasets, teleoperation/demonstration data, egocentric video) is a plus

2+ years of software engineering experience, with some exposure to data pipelines, data engineering, or backend systems.

Required skills

Python, Data Pipelines, Distributed Data Processing, Data Storage, Workflow Orchestration, Streaming Ingestion, Automated Data Quality and Curation, Robotics Data

Preferred skills

Palo Alto, California, USA, https://www.mindrobotics.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Represents job field similar to this job, Engineering and Development, Trends of Total Sponsorships, *2026, (1), Growth Stage, Total Funding, $1.01B, Key Investors, Kleiner Perkins, Accel,Andreessen Horowitz, Eclipse, 2026-05-13, Series Unknown· $400M, 2026-03-11, Series A· $500M, 2025-11-04, Seed· $115M, Recent News, Sourcery, BREAKING: Eclipse’s Quiet Rise to $12.5B+ AUM, 2026-09-28, Crunchbase News, Jumbo-Sized Series A Rounds Are On The Rise, 2026-09-23

Experience

2+ years