Openbound
Back to jobs
FieldAI11–50 employees

Data Platform Engineer, Autonomy Analytics

Irvine, CASalary not listedPosted 77 days ago

Immigration summary

Visa sponsorship

UnclearInsufficient evidence

We didn't find recent H-1B sponsorship history for this employer.

View visa evidence

Green card sponsorship

UnknownNo recent PERM history

We didn't find recent certified PERM filings for this employer.

View green card evidence

Job description

What You'll Get To Do

  • 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.

    • What You Have

  • 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.

    • The Extras That Set You Apart

  • 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.

    • Sponsorship evidence

    Why Openbound reached the conclusions above.

    Visa sponsorship evidence

    Current posting

    Silent on sponsorship

    Employer H-1B history

    No recent H-1B filings on record

    This employer's identity is verified, and no certified H-1B filing was found for it in the fiscal years held.

    Green card sponsorship evidence

    Employer PERM history

    No recent PERM filings on record

    This employer's identity is verified, and no certified PERM case was found for it in FY2023, FY2024, FY2025.

    Filing history reflects past employer behavior; it isn't a promise for this opening.

    All open roles at FieldAI
    How Openbound evaluates sponsorship

    Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.

    An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence.

    What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.