Forward Deployed Engineer
Field AI
Forward Deployed Engineer
Field AI
Builds AI that guides robots through changing sites
Salary Range: 100000 to 200000 (Currency: USD) (Pay period: per-year-salary)
About the Job
At FieldAI, we build autonomous robotic systems that operate in demanding, real-world environments where tight integration between hardware and software is critical. We’re looking for a Forward Deployed Engineer to support testing, deployment, and integration of wheeled robotic platforms across both federal and commercial programs
As a Forward Deployed Engineer at FieldAI, you’ll be at the forefront of bringing our autonomous systems to life in the real world, owning deployment, integration, and ongoing performance in the field. This role is equal parts engineering and problem-solving. You’ll work hands-on with both customers and our internal teams to ensure successful operations, rapidly incorporate field feedback to improve reliability and performance, and drive adoption so our systems become mission-critical from day one. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you’ll make it happen.
1. Field Deployment & Operations
Lead the 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.
2. System Reliability & Performance
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.
3. Customer Enablement & Adoption
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.
4. Cross-Functional Collaboration
Serve as the voice of the customer, bringing field insights back to engineering and product teams.
Collaborate across software, hardware, and AI research groups to deliver integrated solutions.
Contribute to building scalable deployment practices and playbooks for future rollouts.
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, systems integration in Field Robotics industry.
Experience in field deployment of complex technical systems.
Proficiency in Python, C++, Git, ROS.
Familiarity with Linux-based systems, containerization, and cloud infrastructure.
Strong troubleshooting and debugging skills across software, hardware, and networking layers.
Self-starter mindset with the ability to thrive in ambiguous and rapidly changing environments.
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
Ability to work directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions.
Excellent communication skills, with the ability to explain technical concepts to non-technical users.
Willingness to travel and work on-site with customers as needed.
This position is for our FieldAI Federal Team. This team works on projects connected to the U.S. government which requires U.S. Person eligibility. A U.S. Person as defined by 22 C.F.R §120.62 includes U.S. Citizen, U.S. National, lawful permanent residents (green card holders) refugee or asylee.
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.
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