More jobs:
Data Platform Engineer, Autonomy Analytics
Job in
Irvine, Orange County, California, 92713, USA
Listed on 2026-07-21
Listing for:
Field Ai
Full Time
position Listed on 2026-07-21
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
Responsibilities
- 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 (Big Query, 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
.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×