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Senior Data Platform Engineer

FieldAI· Engineering – Perception
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Irvine, CAFull-timePosted 1mo ago

About the role

We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. The role focuses on designing and building a scalable data platform to manage multimodal robotics and ML data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation.

Responsibilities

  • Design and build scalable data architecture for large-scale multimodal robotics and ML datasets.
  • Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality.
  • Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products.
  • Define data models, schemas, contracts, and lifecycle states across data-processing workflows.
  • Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads.
  • Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early.
  • Design for incremental processing, reprocessing, backfills, and versioned transformations.
  • Improve observability and failure diagnosis across complex data workflows.
  • Partner with ML and robotics teams to understand domain-specific data requirements and turn recurring patterns into reusable platform capabilities.
  • Work closely with infrastructure/platform teams on storage, compute, orchestration, reliability, and scalability.

Qualifications

  • Strong experience building production data platforms or large-scale data-processing systems.
  • Strong software engineering skills, preferably Python and/or C++/Java/Go.
  • Experience with distributed data processing and workflow orchestration.
  • Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning.
  • Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design.
  • Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems.
  • Ability to work across ambiguous organizational and technical boundaries.
  • Strong systems-design and engineering judgment.

Skills

Required:Production data platform experienceSoftware engineering (Python, C++, Java, or Go)Distributed data processing and workflow orchestrationData lakes/lakehouses, object storage, metadata systems, schemas, data versioningData quality, lineage, reproducibility, reliable pipelinesS3, Airflow/Dagster, Spark/Ray, Kubernetes, ParquetDomain boundary navigationSystems-design
Last updated Oct 22, 2026. Interested? Apply on the company site.

About FieldAI

Robot intelligence built for the real-world.

FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

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