Field Application Engineer - Temporary Part Time

Field Application Engineer About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries such as construction, security, mining, and manufacturing. Our autonomous robotic systems operate globally in complex and demanding environments, providing customers with critical operational insights and capabilities. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to create meaningful real-world impact. Our team includes experts from NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and many other world-class organizations. Together, we are united by a shared passion for redefining the future through robotics and autonomous systems. Learn more at https://fieldai.com. About the Role We are seeking a proactive and technically skilled Field Application Engineer to lead customer deployments and support the implementation of Field AI's autonomous robotic systems, including quadrupeds, rovers, and humanoid robots. This role serves as a primary technical point of contact between customers, field operations, and engineering teams. The ideal candidate combines strong technical aptitude with project management and customer engagement skills and is comfortable operating in dynamic field environments where independent judgment, technical problem-solving, and effective communication are critical to success. What You Will Do 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 Technical Qualifications 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 &