Software Engineer, Developer Infrastructure

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’re seeking a skilled and motivated Software Engineer, Developer Infrastructure to design, build, and maintain the internal systems that power our engineering organization. In this role, you will own development environments, tooling infrastructure, and build systems that enable teams across robotics, web, AI/ML, and data to ship reliably and efficiently.

You’ll work closely with developers, DevOps, and infrastructure teams to improve code quality, developer velocity, and system consistency across our monorepo. This is a high-leverage role with broad impact across the company’s engineering output.

• Build and maintain containerized development environments
• Develop and enforce automated code quality and style checks
• Design and maintain internal CLI tools and developer workflows
• Own and improve monorepo build systems, file structure, and documentation
• Partner with robotics, web, data, and ML teams to support their development needs
• Improve developer velocity, reliability, and consistency across the codebase

• Experience with build systems such as Bazel or Nx
• Experience supporting robotics software stacks (e.g., ROS, real-time systems, sensor integration)
• Hands-on experience designing or maintaining CI/CD pipelines (e.g., GitHub Actions)

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 3–7 years of software engineering experience
• Strong programming or scripting skills (Python or similar)
• Hands-on experience with Docker or other containerization technologies
• Solid understanding of Linux systems and development environments
• Strong problem-solving skills and ability to collaborate across teams