Software Engineer, DevOps; Web Platform

Field

AI’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.

Field

AI 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 Dev Ops 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.

• 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

• 3–8 years of experience in Dev Ops, infrastructure, or production engineering roles
• Strong experience with AWS and containerized environments (Docker, Kubernetes)
• Experience building and maintaining CI/CD pipelines (e.g., Git Hub Actions or similar)
• Familiarity with modern web stacks (Node.js, Type Script, 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

• Experience owning release processes and production readiness for web applications
• Experience improving system reliability, uptime, and deployment safety at scale
• Familiarity with Mongo
  
  DB or similar databases in production environments
• Experience building internal tooling to improve developer workflows
• Experience in fast-paced startup environments

$115,000 - $190,000 a year

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.

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 Deep Mind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and Space

X, along with a track record of field deployments and strong performance in DARPA challenge segments.