Field AI
Software Engineer, DevOps
About this role
FieldAI is seeking a DevOps Software Engineer to support their Irvine-based embodied AI robotics team. You'll build and maintain infrastructure for field-deployed AI systems that combine rigorous engineering with learning approaches, ensuring reliability across real-world hardware deployments.
What you'll do
- Design and maintain CI/CD pipelines for robotics and AI systems
- Manage cloud and on-premise infrastructure supporting field deployments
- Implement monitoring, logging, and observability for distributed systems
- Automate deployment processes for hardware-integrated software
- Collaborate with engineers to ensure system reliability and scalability
- Support containerization and orchestration of AI/ML workloads
What they're looking for
- Linux/Unix system administration
- CI/CD tools and pipeline development
- Cloud platforms (AWS, GCP, or Azure)
- Container technologies (Docker, Kubernetes)
- Infrastructure as Code (Terraform, Ansible)
- Monitoring and logging systems
- Networking and security fundamentals
- Python or shell scripting
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 AILikely interview questions
- Describe your experience deploying and maintaining CI/CD pipelines for production systems.
- How have you managed infrastructure for systems with real-world hardware constraints?