Overview
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 ris
Full 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.
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 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
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
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
laptop-ats-crawler v2
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Field Ai (lever) ↗Browse current Job and Scholarship listings from Field Ai (lever) →