--- title: 'Data Platform Engineer, Data Pipelines at FieldAI' canonical: 'https://feeny.ai/job/data-platform-engineer-data-pipelines-fieldai-irvine-09nd2mkcm074' type: 'job' last_seen: '2026-09-10' --- # Data Platform Engineer, Data Pipelines at FieldAI - **Company:** FieldAI - **Location:** Irvine, CA - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/field-ai/50714ca7-eb31-47f7-a6b0-a5060765e4ea ## Job description Location: Irvine, CA Field 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(1) 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. ## About Field AI 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. Learn more at https://fieldai.com. ## 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. ## 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. ## 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. - Experience with edge computing or intermittently connected data collection. - Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: 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. Why Join Field AI? 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. ## About FieldAI ## Company Overview - **One-liner**: FieldAI is building the first risk-aware, physics-first foundation model (the Field Foundation Model) that makes robots autonomous in complex, unstructured, and safety-critical real-world environments. - **Entity Type**: Private (latest funding: Venture Round / Corporate Round; total funding ~$497M) - **Headquarters**: Irvine, California, United States (with an office in Mission Viejo) - **Founded**: 2023 (originally known as "AI for Humanity") - **Founders**: Dr. Ali Agha (CEO) – former NASA JPL Principal Investigator and DARPA challenge winner; Dr. Shayegan Omidshafiei (President & Chief Scientific Officer) – former DeepMind Research Scientist ## Core Business - **Primary industry**: Robotics Engineering / Artificial Intelligence (Embodied AI) - **Target customers**: B2B, Enterprise, Government / Federal agencies, Commercial field operators (construction, industrial, urban operations, mission-critical) - **Mission / purpose**: "Deploy autonomous robots at scale in any unstructured environment" without reliance on GPS, maps, or pre-trained routes. ## Products & Services - **[Field Foundation Model (FFM)](https://www.fieldai.com/careers)**: An AI platform that acts as the "general-purpose brain" for robots. It combines data-driven learning with physics-based methods, assesses uncertainty, establishes risk, and adapts autonomously in field conditions. Works across any robot type and continuously improves through a virtuous data flywheel. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric (Total Funding)**: ~$497M across multiple rounds (Seed: $91M, Venture rounds, Corporate round led by Hyundai Motor Group, Series A: $980K led by Temasek Holdings and Prysm Capital) [[linkedin.com](https://www.linkedin.com/company/fieldai)] [[cbinsights.com](https://www.cbinsights.com/company/field-ai)] - **Notable Investors / Partners**: Hyundai Motor Group (corporate round lead), Temasek Holdings, Prysm Capital, plus other visionary institutions. - **Growth Signals**: - Headcount of 217 employees (+227.8% YoY) [[linkedin.com](https://www.linkedin.com/company/fieldai)] - LinkedIn followers grew +580.4% in the last year (51,728 total) [[linkedin.com](https://www.linkedin.com/company/fieldai)] - Technology deployed globally for a decade – from 900 feet underground to advanced commercial, federal, and mission-critical operations [[fieldai.com/careers](https://www.fieldai.com/careers)] - Won segments of the DARPA Subterranean Challenge (Urban phase) [[fieldai.com/team](https://www.fieldai.com/team)] ## Competitive Advantages - **First risk-aware, physics-first foundation model** – unlike pure data-driven or transformer-only approaches. - **Field-proven reliability** – systems work without GPS, maps, or pre-programmed routes, and dynamically adapt to uncertainty. - **Virtuous data flywheel** – each deployment increases model reliability across the entire fleet. - **Exceptional team** – drawn from DeepMind, NASA JPL, Boston Dynamics, Nvidia, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX [[fieldai.com/team](https://www.fieldai.com/team)] - **Strong IP & DARPA pedigree** – led by veterans who have shaped the field of autonomous robotics for nearly two decades. ## Strategic Focus - **Scale deployment** of the Field Foundation Model across commercial, industrial, and federal sectors. - **Expand federal division** (FieldAI Federal) led by former DARPA PM and Toyota Research Institute exec Dr. Eric Krotkov [[fieldai.com/team](https://www.fieldai.com/team)] - **Hire top-tier talent** in embodied AI, software engineering, robotics hardware, and field operations to accelerate product development and real-world impact [[fieldai.com/careers](https://www.fieldai.com/careers)] ## Why Work Here - **Impact**: Directly shape how intelligent systems operate in the real world – from underground mines to urban search-and-rescue. - **Culture**: "Creativity, resilience, and bold thinking" – a supportive environment that encourages pushing beyond conventional methods [[fieldai.com/careers](https://www.fieldai.com/careers)]. - **Team**: Work alongside world-class researchers and engineers from DeepMind, NASA JPL, Boston Dynamics, and leading autonomy companies. - **Resources**: Backed by over $100M in funding with strong institutional support – rapid execution and fast-paced growth. - **Work model**: Likely office-centric given the hardware/robotics focus; headquarters in Irvine, CA, with a distributed presence across 9 countries (US, India, Singapore, Japan, Spain, etc.) [[linkedin.com](https://www.linkedin.com/company/fieldai)]. - **Perks / recognition**: Rated 4.5/5 on employer reviews (16 reviews), with top marks for Culture (4.3) and Career (4.4) [[linkedin.com](https://www.linkedin.com/company/fieldai)]. ## Sources 1. [fieldai.com/careers](https://www.fieldai.com/careers) 2. [linkedin.com/company/fieldai](https://www.linkedin.com/company/fieldai) 3. [fieldai.com/team](https://www.fieldai.com/team) 4. [cbinsights.com/company/field-ai](https://www.cbinsights.com/company/field-ai) 5. [jobs.lever.co/field-ai](https://jobs.lever.co/field-ai) ## Other roles at FieldAI - [Senior Software Engineer, Multiagent Simulation](https://feeny.ai/job/senior-software-engineer-multiagent-simulation-fieldai-boston-bexvrha8ny5f) — Boston, MA - [Project Engineer - Field Application Engineering](https://feeny.ai/job/project-engineer-field-application-engineering-fieldai-london-q6k0xv5d0s3p) — London, United Kingdom - [Field Application Engineer - Fixed term - Full - time - Sapporo, Hokkaido](https://feeny.ai/job/field-application-engineer-fixed-term-full-time-sapporo-hokkaido-fieldai-sapporo-smy67kjjz6tm) — Sapporo, Japan - [Field Application Engineer - London, UK](https://feeny.ai/job/field-application-engineer-london-uk-fieldai-london-b415kz93esj8) — London, United Kingdom - [Robotics Autonomy Engineer-Planning and Control - Federal](https://feeny.ai/job/robotics-autonomy-engineer-planning-and-control-federal-fieldai-irvine-00k3zqwx5qa7) — Irvine, CA - [Software Integration Engineer - Federal](https://feeny.ai/job/software-integration-engineer-federal-fieldai-irvine-edk1710b212m) — Irvine, CA - [3D/AR/VR Software Engineer](https://feeny.ai/job/3d-ar-vr-software-engineer-fieldai-boston-v0p9bqjj56pr) — Boston, MA - [Robotics Autonomy Engineer - Safety](https://feeny.ai/job/robotics-autonomy-engineer-safety-fieldai-irvine-hng0ewn9dtrm) — Irvine, CA - [Robotics Autonomy Engineer - Manipulation](https://feeny.ai/job/robotics-autonomy-engineer-manipulation-fieldai-irvine-3dnpmkzzg67e) — Irvine, CA - [Robotics Autonomy Engineer - Triage](https://feeny.ai/job/robotics-autonomy-engineer-triage-fieldai-irvine-h00v2ts6a9c6) — Irvine, CA