field-ai - Field Application Engineer
Requirements
• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Mechatronics, or a related technical discipline • Strong analytical and problem-solving skills with the ability to diagnose and resolve complex technical issues • Hands-on experience with robotics platforms, autonomous systems, drones, quadrupeds, humanoids, or related technologies • Familiarity with sensors, electronics, embedded systems, networking, and robotic subsystems • Programming or scripting experience using Python, C++, or similar languages • Ability to independently evaluate technical challenges and develop practical solutions in uncertain environments • Strong technical communication skills with the ability to effectively communicate with both technical and non-technical audiences • Ability to interpret field data and provide actionable recommendations to engineering and product teams • Project Management & Customer Leadership • Experience serving as a customer-facing technical point of contact • Ability to independently manage deployment projects, schedules, technical deliverables, and stakeholder expectations • Strong project management skills, including planning, prioritization, risk assessment, issue resolution, and execution • Experience coordinating cross-functional teams to execute complex technical initiatives • Ability to exercise independent judgment when resolving technical, operational, and customer-facing challenges • Skilled at balancing customer requirements, technical constraints, and business objectives in dynamic environments • Strong written and verbal communication skills, including customer presentations, project updates, and technical documentation • Comfortable with frequent travel and working on-site with customers and field teams • Ability to adapt to rapidly changing priorities, environments, and operational requirements • Strong organizational skills and ability to manage multiple concurrent projects • Self-motivated with a high degree of ownership, accountability, and initiative • Ability to occasionally lift and move equipment weighing up to 50 pounds as required during deployments • Field AI will never ask candidates to provide personal financial or account information as part of the recruiting process. • Field Application Engineer
Responsibilities
• Serve as the primary technical point of contact for customers throughout deployment, testing, and operational activities • Lead customer-facing engagements related to deployment planning, implementation, system performance, and ongoing support • Develop deployment plans, project timelines, operational procedures, and technical implementation strategies for autonomous robotic systems • Coordinate and drive execution across engineering, operations, and customer teams to ensure successful project outcomes • Deploy and supervise advanced robotic systems in customer and field environments • Troubleshoot complex hardware, software, autonomy, networking, and systems integration issues in live operational settings • Evaluate field performance data and communicate findings, risks, and recommendations to engineering and product teams • Manage multiple customer deployments and technical projects simultaneously while balancing competing priorities and timelines • Lead technical reviews, deployment readiness assessments, and project status discussions with internal and external stakeholders • Act as a trusted advisor to customers by translating complex technical concepts into actionable operational guidance • Document technical findings, deployment outcomes, and customer feedback to influence product development and deployment strategies • Identify opportunities to improve deployment processes, customer experience, operational efficiency, and product adoption • Support demonstrations, field testing activities, and strategic customer engagements
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