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Field AI

Builds AI that guides robots through changing sites

Forward Deployed Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A Master’s degree or higher in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related technical field, or equivalent practical experience.
  • Two to three years of experience in software engineering or systems integration in the field robotics industry.
  • Experience deploying complex technical systems in the field.
  • Proficiency in Python, C++, Git, and ROS.
  • Familiarity with Linux-based systems, containerization, and cloud infrastructure.
  • Strong troubleshooting and debugging skills across software, hardware, and networking layers.
  • Ability to thrive in ambiguous and rapidly changing environments.

Responsibilities

  • Lead end-to-end deployment of autonomous systems in customer environments.
  • Ensure systems are configured, tested, and operational under real-world conditions.
  • Troubleshoot and resolve technical issues quickly to maintain uptime and mission success.
  • Gather and analyze field feedback to identify areas for improvement.
  • Work closely with product and engineering teams to drive enhancements into the core system.
  • Implement monitoring and diagnostic tools to ensure sustained reliability.
  • Partner with customer teams to train and support operators in achieving operational readiness.
  • Translate complex technical concepts into clear, actionable workflows.
  • Act as a trusted advisor to accelerate adoption and long-term value realization.
  • Serve as the voice of the customer by bringing field insights back to engineering and product teams.
  • Collaborate across software, hardware, and AI research groups to deliver integrated solutions.
  • Contribute to scalable deployment practices and playbooks for future rollouts.

Desired Qualifications

  • Experience deploying, operating, or maintaining mission-critical systems in real-world environments.
  • Experience using Jira, Wrike, Confluence, or other program management software tools.
  • Ability to work directly with customers in high-stakes, fast-paced settings and translate needs into technical solutions.
  • Willingness to travel and work on-site with customers as needed.

About the Company

Field AI

Builds AI that guides robots through changing sites

Field AI builds autonomy software that lets mobile robots inspect and work in changing environments, including construction sites and industrial facilities. Its Field Foundation Models act as a shared control system for different machines, bringing perception, navigation and task planning together on the robot. Cameras and other sensors feed the system, while the platform sends site data into customers' project tools to track progress, record conditions and identify deviations from plans. The company sells commercial autonomy solutions and deployment services, integrating its software with robot manufacturers' equipment. Field AI was founded in 2023 and is headquartered in Irvine, California.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1.1B
Headquarters
Irvine, CA
Founded
2023

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