Field AI
Senior Data Platform Engineer
$160K–$200K
Irvine, CA +1 · On-site · Senior · Full-time · Posted Sep 13, 2026
- Location
- Irvine, CA
Seattle, WA
About the job
Builds the data platform that turns multimodal robotics data into reliable, versioned datasets and products for machine learning across the ML lifecycle.
What you'll do
- Design scalable data architecture and services for ingestion, processing, metadata, lineage, and data quality.
- Build reliable, versioned pipelines and automated validation for ML-ready data, including reprocessing and backfills.
- Partner with ML, robotics, and infrastructure teams to develop reusable platform capabilities and improve workflow observability.
What they ask for
- 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.
Nice to have
- Experience with ML datasets or ML infrastructure.
- Robotics or multimodal data experience, internal platform products, or operating pipelines at TB/PB scale.
Pay
USD 160,000–200,000 per-year-salary; base salary
Tools
Python, C++, Java, Go, S3, Airflow/Dagster, Spark/Ray, Kubernetes
AI focus
Builds data infrastructure and ML-ready datasets that support training and evaluation of autonomous robotics systems.
Model-written summary · the original posting is authoritative