3mo ago

Data Platform Engineer, Autonomy Analytics

United States·IrvineFull timemid

Data EngineerData

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Quick Summary

Overview

Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI. Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR,

Technical Tools

Data EngineerData

Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.

Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.

Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.

Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.

Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.

Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.

Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.

Optimize pipeline performance, scalability, and cost across growing fleet deployments.

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.

Strong programming skills in Python and SQL (C++, Scala, or Java a plus).

Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.

Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.

Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).

Experience building for data quality: testing, monitoring, lineage, and incident response.

Strong problem-solving skills and ability to work in interdisciplinary teams.

Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).

Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag.

Location & Eligibility

Where is the job

Irvine, United States

On-site at the office

Who can apply

Listing Details

Posted: July 10, 2026
First seen: July 11, 2026
Last seen: October 13, 2026

Posting Health

Days active: 94
Repost count: 0
Trust Level: 31%
Scored at: October 13, 2026

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Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.

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2023

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