Software Engineer, DevOps (Web Platform)

Posted:
4/9/2026, 5:03:32 AM

Location(s):
Irvine, California, United States ⋅ California, United States

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
DevOps & Infrastructure ⋅ Software Engineering

Workplace Type:
Hybrid

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.

FieldAI is building web-based products that power real-world robotic deployments. As our systems scale, ensuring reliable releases and stable production environments is critical.

We’re looking for a DevOps Engineer, Web Platform to own release reliability, deployment systems, and production stability across our web stack. You will ensure that new features ship safely, systems scale cleanly, and production issues are caught before they impact customers.

This is a hands-on role focused on CI/CD, testing infrastructure, and Kubernetes-based deployments — working closely with full-stack and production teams to keep our systems fast, reliable, and continuously improving.

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

Field AI

Website: https://www.fieldai.com/

Headquarter Location: Mission Viejo, California, United States

Employee Count: 11-50

Year Founded: 2023

IPO Status: Private

Last Funding Type: Series A

Industries: Enterprise Software ⋅ Robotic Process Automation (RPA) ⋅ Robotics