FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Do:
Own and improve CI/CD pipelines for web services and applications (Node.js, React)
Design and maintain release processes that ensure safe, reliable deployments
Build and enforce testing and validation workflows to catch issues before production
Manage and scale containerized infrastructure (Docker, Kubernetes) in AWS
Monitor system performance, reliability, and uptime across production environments
Partner with full-stack engineers to improve deployment velocity and system stability
Debug and resolve production issues across application, infrastructure, and deployment layers
Improve observability, logging, and alerting to proactively detect failures
What You Bring:
3–8 years of experience in DevOps, infrastructure, or production engineering roles
Strong experience with AWS and containerized environments (Docker, Kubernetes)
Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions or similar)
Familiarity with modern web stacks (Node.js, TypeScript, React)
Experience managing production systems and debugging real-world issues
Understanding of testing strategies for release reliability and system validation
Strong ownership mindset with a focus on system stability and quality
Ability to work cross-functionally with engineering teams
What Sets You Apart:
Experience owning release processes and production readiness for web applications
Experience improving system reliability, uptime, and deployment safety at scale
Familiarity with MongoDB or similar databases in production environments
Experience building internal tooling to improve developer workflows
Experience in fast-paced startup environments
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected statu
