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Field AI

Software Engineer, DevOps

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

About this role

FieldAI is seeking a DevOps Software Engineer to support their Irvine robotics team, which develops and deploys embodied AI systems for real-world field applications. You'll help build infrastructure that enables rapid testing, deployment, and iteration of AI systems on physical robots and hardware across global locations.

What you'll do

  • Design and maintain CI/CD pipelines for AI/robotics software deployments
  • Manage cloud and on-premises infrastructure supporting hardware testing and field deployments
  • Implement monitoring, logging, and observability for deployed robotic systems
  • Collaborate with software and robotics teams to optimize deployment workflows
  • Support hardware integration and testing environments
  • Ensure reliability and security of systems in production field deployments

What they're looking for

  • CI/CD pipeline development and management
  • Cloud infrastructure (AWS, GCP, or Azure)
  • Linux system administration
  • Container technologies (Docker, Kubernetes)
  • Infrastructure-as-code tools
  • Monitoring and logging systems
  • Python or similar scripting languages
  • Git and version control
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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

  • Describe your experience setting up CI/CD pipelines for hardware-in-the-loop testing. How have you handled the complexities of testing in environments with real sensors and robots?
  • Tell us about a time you had to optimize deployment processes for systems that run in the field. What were the key challenges and how did you solve them?