Job description

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 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. 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 status.

Requirements

Must-haves

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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigoci/cdkubernetesdockermlpython

Platform: lever
Effort: quick