Transforming industrial operations through physically embodied robotic AI and superhuman autonomy.
The Role
As a DevOps Engineer, you will design and maintain the infrastructure supporting CI/CD pipelines, work with container orchestration tools, and collaborate with engineering teams to improve development workflows.
Summary Generated by Built In
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.
We are seeking a highly motivated DevOps Engineer to help build and scale the infrastructure powering our AI and robotics platforms. In this role, you will work closely with robotics, machine learning, and software engineering teams to develop reliable CI/CD systems, cloud-native infrastructure, and developer tooling that support production-grade autonomy and edge AI deployments.
This is an opportunity to build scalable systems for real-world robotics applications in a fast-paced, highly collaborative environment.
What You Will Get To Do
- Build and maintain CI/CD pipelines across robotics, AI, and software systems using tools such as GitHub Actions.
- Design and manage cloud-native, containerized infrastructure using Kubernetes, Docker, and related technologies.
- Deploy and support workloads across cloud and edge environments.
- Improve developer workflows through automation, tooling, and infrastructure enhancements.
- Support testing, packaging, deployment, and observability for distributed robotics and AI systems.
- Collaborate cross-functionally with robotics, ML, and platform engineering teams to improve reliability and scalability.
- Optimize build systems, monorepos, and deployment workflows for complex engineering environments.
What You Have
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- 3-7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles.
- Strong experience with Kubernetes, Docker, and cloud-native infrastructure.
- Experience building and maintaining CI/CD systems in complex engineering environments.
- Strong scripting or programming skills in Python, Bash, Go, or similar languages.
- Solid understanding of Linux systems, networking, and distributed systems fundamentals.
- Strong problem-solving skills and ability to work effectively across multidisciplinary teams.
What Will Set You Apart
- Experience supporting robotics, autonomous systems, IoT, or edge computing environments.
- Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines.
- Familiarity with ROS, Terraform, Helm, ArgoCD, or related infrastructure tooling.
- Experience managing large monorepos, build systems, and developer platforms.
- Experience building observability and reliability systems for distributed infrastructure.
- Kubernetes certifications such as CKA, CKAD, or CKS.
- Bias for action and ability to thrive in fast-moving, ambiguous environments.
Compensation and Benefits
Our salary range is competitive with the market, but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.
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.
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.
We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.
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.
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
Skills Required
- Bachelor's degree in Computer Science, Engineering, or a related field or equivalent work experience
- 3-7 years of experience in DevOps, Infrastructure Engineering, Cloud or related roles
- Strong experience with CI/CD systems such as GitHub Actions
- Strong hands-on experience with container and container orchestration tools like Docker, Kubernetes
- Strong scripting or programming skills in Python, Bash, or similar languages
- Solid understanding of Linux systems and networking fundamentals
- Excellent problem-solving skills and ability to work collaboratively
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The Company
What We Do
FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.
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