Field AI
Robotics Autonomy Engineer (Federal)
$100K–$200K
Irvine, CA · On-site · Full-time · Posted Jun 2, 2026
- Experience
- 2–3 years in software engineering or systems integration in the Field Robotics industry.
- Education
- Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field, or equivalent practical experience.
- Visa sponsorship
- U.S. Person eligibility required for federal team projects connected to the U.S. government; includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, or asylees.
About the job
Deploys, integrates, tests, and supports autonomous wheeled robots in federal and commercial customer environments, improving reliability through field feedback.
What you'll do
- Lead customer-site deployment, configuration, testing, troubleshooting, and operation of autonomous systems.
- Analyze field feedback and work with product and engineering teams on reliability improvements, monitoring, and diagnostics.
- Train and support customer operators, communicate technical workflows, and relay field insights across teams.
What they ask for
- Master’s degree or higher in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field, or equivalent practical experience.
- 2–3 years of experience in software engineering or systems integration in the Field Robotics industry.
- Experience with field deployment of complex technical systems.
- Proficiency in Python, C++, Git, and ROS; familiarity with Linux-based systems, containerization, and cloud infrastructure.
Nice to have
- Experience deploying, operating, or maintaining mission-critical systems in real-world environments.
- Experience with Jira, Wrike, Confluence, or other program management software tools.
Pay
USD 100,000–200,000 per year (base salary)
Tools
Python, C++, Git, ROS, Linux
AI focus
Supports deployment and integration of autonomous robotic systems and collaborates with AI research teams; the posting describes FieldAI’s systems as embodied AI and Field Foundational Models for perception, planning, localization, and manipulation.
Model-written summary · the original posting is authoritative