Data Platform Engineer, Data PipelinesField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers.
Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.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.What You'll Get To DoDesign 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 HaveBachelor'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 ApartExperience 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.Experience with edge computing or intermittently connected data collection.Experience with dbt or similar transformation frameworks.Field AI believes in-person collaboration is essential for tackling complex challenges. These are fully onsite roles based in our Irvine office, with flexible hours to support work-life balance.We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
The data platform this team builds will carry every signal our robots produce — the raw material behind every autonomy improvement we ship.You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.Be part of the next robotics revolution. To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise.
Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.