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Full timeTechnology

Data Platform Engineer, Data Pipelines

Field AiIrvine🇺🇸United States

Quick overview

Salary$140k - $185k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationIrvine, United States
DockerSQLAWSEdge ComputingRoboticsAirflowKafkaPythonROSTerraformRESTKubernetesIAM

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

About the Job

    As a Data Platform Engineer, Data Pipelines, you will design and build the systems and integrations that help move data reliably from robots in the field to the teams and services that depend on it — analytics, autonomy, ML training, and deployment operations. You will collaborate with cross-functional teams spanning robotics, autonomy, and deployment to build the data backbone of a field robotics company.

About the Data Platform Team

    Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap.

What You'll Get To Do

  • Build and own ingestion pipelines that land robot data (ROS2 bags/MCAP, LiDAR, camera, IMU, logs) in cloud storage and the lakehouse

  • Handle the realities of field data: intermittent connectivity, very large sensor payloads, edge-to-cloud sync, partial or truncated uploads, and backfill from offline deployments

  • Write and operate Airflow DAGs that process, validate and catalog every mission's data

  • Build reusable ingestion SDKs, APIs and services so teams can onboard a new data source with minimal custom code

  • Build integrations that deliver processed data to external platforms and customers (REST APIs, webhooks, cloud storage drops)

  • Own pipeline reliability end to end: schema contracts, idempotent retries, re-delivery, backfills and alerting

  • Optimize pipeline throughput and cost as the fleet grows

What You Have

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

  • 3–5+ years of experience in data engineering or backend engineering focused on pipelines

  • Strong Python and SQL

  • Production experience with an orchestrator such as Airflow or Dagster

  • Experience with cloud object storage at scale (S3 or equivalent) and event-driven processing (queues, Lambda, Kinesis, Kafka or Pub/Sub)

  • Experience building integrations with third-party APIs and designing APIs others consume

  • A habit of building for failure: retries, idempotency, monitoring and clear alerts

  • You own problems from start to finish: from "the data didn't show up" to the root cause, the fix, the backfill and the alert that catches it next time

The Extras That Set You Apart

  • Experience with ROS/ROS2, MCAP or rosbag, or other robotics or automotive telemetry

  • Experience with edge computing or intermittently connected data collection

  • Experience with large binary media: point clouds, 360° video, images

  • Experience with Iceberg, Delta or another open table format

  • Some infrastructure experience, enough to ship and debug your own pipelines: Docker, Kubernetes, Terraform, or basic AWS IAM and networking

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

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