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Active3mo ago

Data Platform Engineer, Autonomy Analytics

FieldAI·📍 Irvine, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

3–5 years

Salary

Not disclosed

Salary not disclosed

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Role overview

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.

    • About this listing

    • Source: FieldAI's official careers site (via Lever) · last confirmed on the source 29 Oct 2026
    • Posted 10 Jul 2026

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    What they are looking for

    Skills & requirements

    python →java →sql →ai →c++ →warehouse →

    Qualification

    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

    Department · Engineering

    Hiring company

    FieldAI

    Technology

    FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.

    Company profile →Open jobs →Company site ↗

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