Field AI
Software Engineer, DevOps
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 AILikely 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?