Field Application Engineer / Intern - Mineral, Virginia (Part-time)
About The Position
Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Weâre proud to have a team of brilliant minds from organizations like NASA, Google DeepMind, Boston Dynamics, Uber, Cruise, Zoox, Amazon, SpaceX, Tesla, MIT, Caltech, Berkeley, Stanford, CU, and more. Together, we are united by a shared passion for reshaping the future through robotics. Learn more athttps://fieldai.com.
Requirements
- Bachelorâs degree in Robotics, Computer Science, Engineering, Mechatronics, or a closely related field
- Strong communication and interpersonal skillsâespecially when interfacing with clients and technical teams
- Demonstrated interest in robotics, autonomous systems, or field technologies
- Comfortable working in dynamic and sometimes unpredictable field environments
Nice To Haves
- Adaptability & Flexibility: Ability to work under varying environmental conditions and adapt to evolving client needs and technical challenges.
- Multitasking: Managing several ongoing tasks simultaneously while meeting deadlines and maintaining quality in all aspects of work.
- Time Management: Efficiently balancing tasks, responding to emergencies, and prioritizing projects in a dynamic work environment.
Responsibilities
- Supervise and Monitor Autonomous Missions: Ensure robot deployments are running safely, efficiently, and in accordance with mission goals.
- Field-Based Data Collection: Set up and oversee experiments or missions with autonomous systems; collect and log structured data for training, testing, or research purposes.
- Onsite Client Collaboration: Engage directly with clients to provide clear, timely updates on mission progress, system status, and outcomes; ensure transparency and build trust throughout the deployment lifecycle.
- Real-Time Debugging Support: Perform basic hardware checks, sensor resets, and software reboots; identify and report system faults clearly to the engineering team.
- Mission Reporting & Documentation: Maintain detailed logs of field activity, mission performance, environment conditions, and system behavior; escalate critical findings.
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What This Job Offers
Job Type
Part-time
Career Level
Intern
Number of Employees
11-50 employees
