Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, 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.

Learn more at https://fieldai.com.

We are looking for a proactive and tech-savvy Field Application Engineer to support the deployment, testing, and client-facing operations of our cutting-edge robotic systems—including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in both technical and operational environments.

You will be based out of our Charlotte, NC site.

Deploy and operate robotic systems in the field, support testing and data collection.

Supervise remote operations and assist during client presentations and demos.

Facilitate smooth, clear communication between engineers and non-technical stakeholders.

Document technical issues, test results, and client feedback in detail.

Troubleshoot hardware and software issues and contribute to continuous workflow improvement.

Collaborate with cross-functional teams to iterate on system performance and usability.

Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related technical field.

Strong communication skills—able to translate complex technical topics for various audiences.

Willingness to travel frequently across the country.

Excellent organizational skills and the ability to work well in team-based environments.

Hands-on experience with robotics hardware (drones, quadrupeds, humanoids, or similar).

Familiarity with basic electronics, sensors, and robotic subsystems.

Basic coding/scripting skills (Python, C++, or similar).

Prior experience in field testing, remote operations, or client-facing tech roles is a plus.

The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.

At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a contract fully onsite role, and candidates will be expected to work in Charlotte, NC. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.