Senior Robotics Data Platform Engineer

FieldAI; Irvine (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

FieldAI’s Irvine team is building the data foundation powering the full ML lifecycle for autonomous robotics. Our data platform engineers design and implement scalable pipelines that ingest, process, validate, label, and version multimodal robot data in real deployments.

You will collaborate with ML researchers, robotics engineers, and infra teams to deliver reliable data products and ensure data quality, lineage, and traceability across the lifecycle.

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.

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.

Skills

Python

C++

Go

Data pipelines

Airflow

Dagster

Spark

Kubernetes

Parquet

S3

Tools

S3

Kubernetes

Parquet

Docker

Job description

FieldAI’s Irvine team is building the data foundation powering the full ML lifecycle for autonomous robotics. Our data platform engineers design and implement scalable pipelines that ingest, process, validate, label, and version multimodal robot data in real deployments.

You will collaborate with ML researchers, robotics engineers, and infra teams to deliver reliable data products and ensure data quality, lineage, and traceability across the lifecycle.