Field AI
Senior Autonomy Engineer (Federal)
$150K–$190K
Irvine, CA · On-site · Senior · Full-time · Posted Mar 19, 2026
- Experience
- PhD degree; or MS degree in a related field with 2+ years of industry or applied research experience; or BS degree in a related field with 4+ years of relevant experience. Also requires experience in field deployment of complex technical systems.
- Education
- PhD in Robotics, Computer Science, Electrical Engineering, or a related field; or MS in a related field; or BS in a related field.
About the job
Deploys, integrates, tests, and improves autonomous wheeled robotic systems for federal and commercial customer environments.
What you'll do
- Lead customer-site deployment, configuration, testing, and troubleshooting of autonomous systems.
- Analyze field feedback and improve system reliability and performance with product and engineering teams.
- Train and support customer operators, communicate workflows, and relay customer needs to internal teams.
What they ask for
- Experience in field deployment of complex technical systems.
- Proficiency in Python, C++, Git, ROS/ROS2.
- Familiarity with Linux-based systems, containerization, and cloud infrastructure.
- Strong troubleshooting and debugging skills across software, hardware, and networking layers.
Nice to have
- Experience deploying, operating, or maintaining mission-critical systems in real-world environments.
- Experience using Jira or Wrike or Confluence or other program management software tools.
Pay
USD 150,000–190,000 per-year-salary (base pay)
Tools
Python, C++, Git, ROS/ROS2, Linux
AI focus
Supports deployment and field improvement of autonomous robotic systems; the posting describes Field Foundational Models for perception, planning, localization, and manipulation.
Model-written summary · the original posting is authoritative