Senior Robotics Data Platform Engineer

FieldAI; Irvine, Northern (CA, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

FieldAI in Irvine is building a data platform to power autonomous robotics, handling multimodal data from real deployments. You will design, implement, and evolve pipelines that ingest, process, validate, and generate ML-ready datasets for rapid experimentation and reliable field operations.

You will collaborate with ML and robotics engineers to define data requirements, ensure data quality, and provide scalable, observable systems that support continuous improvement and safe deployment in

Qualifications

• Production data platforms or large-scale data-processing systems experience.
• Software engineering skills in Python and/or C++/Java/Go.
• Distributed data processing and workflow orchestration experience.
• 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 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.

Responsibilities

• Design 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

Data platforms

Python & C++

Distributed processing

Data lakes

Data quality

S3 & Airflow

Kubernetes & Parquet

Ambiguity handling

Systems design

Tools

Airflow

Spark

Dagster

Kubernetes

Parquet

Job description

FieldAI in Irvine is building a data platform to power autonomous robotics, handling multimodal data from real deployments. You will design, implement, and evolve pipelines that ingest, process, validate, and generate ML-ready datasets for rapid experimentation and reliable field operations.

You will collaborate with ML and robotics engineers to define data requirements, ensure data quality, and provide scalable, observable systems that support continuous improvement and safe deployment in