Field Robotics Data Platform Engineer (Onsite Irvine)

jobr.pro; Irvine (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Field AI is at the forefront of robotic embodied AI, transforming industries with autonomous robots deployed globally. This Data Platform Engineer role builds data ingestion and integration pipelines moving telemetry from robots in the field to analytics and ML systems.

Join a field-ready team solving complex challenges, with cross-functional collaboration across robotics, autonomy, and deployment. This onsite Irvine role offers impact and growth.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or related field.
• 3–5+ years in data or backend engineering focusing on pipelines.
• Strong Python and SQL skills; Java/C++ a plus.
• Production experience with streaming systems (Kafka, Kinesis, Pub/Sub).
• Experience with cloud data warehouses (BigQuery, Snowflake, Databricks).
• Experience building integrations via APIs and CDC/ELT tooling.
• Experience with data quality: testing, monitoring, lineage, incident response.
• Strong problem solving and cross-functional collaboration.

Responsibilities

• Design and build the data platform, pipelines, and tooling for Field AI ingestion.
• Handle field data realities: intermittent connectivity, large sensor payloads, edge-to-cloud sync.
• Develop reusable ingestion SDKs, APIs, and services for new robotics data sources.
• Build integrations across robot/edge systems, fleet tooling, simulation, and cloud storage.
• Integrate platform with BI tools, ML pipelines, labeling systems, and issue trackers.
• Develop connectors and APIs for data ingestion and curated datasets reliability.
• Own end-to-end integration reliability: schemas, versioning, retries, backfills, monitoring.
• Optimize pipeline performance, scalability, and cost for growing fleets.

Skills

Python

SQL

Big data

Cloud deployments

Data pipelines

Problem solving

Cross-functional collaboration

Education

Bachelor's or Master's in CS/Engineering

Tools

Kafka

Kinesis

Pub/Sub

Airflow

Dagster

BigQuery

Snowflake

Databricks

Redshift

Fivetran

Airbyte

Debezium

Job description

Field AI is at the forefront of robotic embodied AI, transforming industries with autonomous robots deployed globally. This Data Platform Engineer role builds data ingestion and integration pipelines moving telemetry from robots in the field to analytics and ML systems.

Join a field-ready team solving complex challenges, with cross-functional collaboration across robotics, autonomy, and deployment. This onsite Irvine role offers impact and growth.