Skip to main content

Field AI

Software Engineer, Developer Infrastructure

Irvine, CA$115k–$170kfull timemidAdded 1 month ago

About this role

FieldAI seeks a Software Engineer to build and maintain internal developer infrastructure supporting their robotics AI teams. You'll design development environments, build systems, and tooling that enable multiple engineering teams to ship reliably and efficiently across a monorepo architecture.

What you'll do

  • Design and maintain development environments and build systems for engineering teams
  • Own tooling infrastructure that supports robotics, web, AI/ML, and data engineering
  • Improve code quality, developer velocity, and system consistency across the monorepo
  • Collaborate with DevOps and infrastructure teams on platform improvements
  • Support multiple engineering disciplines with integrated developer experiences
  • Drive reliability and efficiency of internal systems used company-wide

What they're looking for

  • Build system design and maintenance
  • Development environment setup and automation
  • DevOps and infrastructure engineering
  • Monorepo management
  • CI/CD pipeline development
  • System integration and tooling
  • Cross-team collaboration
  • Code quality and testing infrastructure
Apply with Autofill

Opens the application — the Jobs AI extension fills it for you. Set up autofill

Opens the official application on the employer’s site. No login required.

Field AI

Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.

View all jobs at Field AI

Likely interview questions

  • Can you describe your experience building or maintaining development environments and tooling for multiple teams? How did you approach standardizing workflows across different engineering disciplines?
  • Tell us about a time you improved developer velocity or reduced build times. What metrics did you use to measure success, and what was the impact?
Unlock all 7 questions free — and practice them live →