Field AI
Forward Deployed Engineer (Federal)
$100K–$200K
Irvine, CA · On-site · Full-time · Posted May 11, 2026
- Experience
- 2-3 years in software engineering or systems integration in the Field Robotics industry; experience in field deployment of complex technical systems.
- 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: U.S. Citizen, U.S. National, lawful permanent resident (green card holder), refugee, or asylee.
About the job
Deploys, integrates, and supports autonomous wheeled robots in federal and commercial customer environments, improving system reliability through field testing and feedback.
What you'll do
- Lead deployment, configuration, testing, troubleshooting, and operation of autonomous systems at customer sites.
- Analyze field feedback and collaborate with engineering and product teams on reliability improvements and monitoring tools.
- Train and support customer operators, communicate technical workflows, and contribute to deployment practices and playbooks.
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 in 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-salary (base pay)
Tools
Python, C++, Git, ROS, Linux, containerization, cloud infrastructure, Jira
AI focus
Deploys and integrates autonomous robotic systems and collaborates with AI research teams; the posting describes Field Foundational Models for perception, planning, localization, and manipulation.
Model-written summary · the original posting is authoritative