FieldAI

Forward Deployed Engineer

FieldAI · Remote, KR
Remote, KR Remote Posted 2026-10-01
Type
Full-time
Experience
2+ yr
  • 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.
PythonC++
Field AI

Field AI

Robotics · Series D · Mission Viejo, USA

Stage & Valuation
Series D · $2B
Key Investors
Bill Gates, Nvidia, Jeff Bezos
Open roles on NewJob
Most hiring in
Engineering (51) · Data & ML (8) · Operations (4)
Field AI develops hardware-agnostic autonomy software and Field Foundation Models (FFMs) that equip mobile robots with a universal, risk-aware brain for unstructured environments. Their physical AI technology enables robots to operate without maps, GPS, or human intervention.
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