Field AI
Robot Autonomy Engineer-Federal
About this role
Field AI seeks a Robot Autonomy Engineer to lead real-world deployment and integration of autonomous wheeled robotic systems for federal and commercial customers. You'll own end-to-end operations, troubleshoot field issues, gather performance data, and collaborate across teams to drive reliability and adoption of mission-critical autonomous systems.
What you'll do
- Lead end-to-end deployment and configuration of autonomous systems in customer environments
- Troubleshoot and resolve technical issues to maintain system uptime and mission success
- Gather and analyze field feedback to identify improvements and drive engineering enhancements
- Train and support customer operators to achieve operational readiness
- Serve as voice of customer, translating field insights back to engineering and product teams
- Implement monitoring and diagnostic tools to ensure sustained reliability
What they're looking for
- Python and C++ programming
- ROS (Robot Operating System)
- Linux systems and containerization
- Cloud infrastructure and deployment
- Systems integration and troubleshooting across software/hardware/networking
- Field robotics and autonomous systems
- Customer communication and technical translation
- Git 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
- Walk us through a time you deployed a complex technical system in the field. What went wrong, and how did you troubleshoot it?
- Describe your experience with ROS and Python in a robotics or autonomous systems context. What projects have you worked on?