
Job description
Field Application Engineer to support the deployment, testing, and client-facing operations of cutting-edge robotic systems. Based out of Saline, MI. Ideal for recent graduates who thrive in technical and operational environments.
Deploy and operate robotic systems, supervise remote operations, facilitate communication, document technical issues, troubleshoot hardware and software issues, and collaborate with cross-functional teams.
Strong communication skills, willingness to travel, excellent organizational skills, and hands-on experience with robotics hardware. Familiarity with basic electronics, sensors, and robotic subsystems, and basic coding/scripting skills.
Company

Tech, Software & IT Services
Field AI develops a physics‑first, risk‑aware foundation model that transforms general‑purpose robots into autonomous agents capable of operating safely in complex, unstructured environments. Their Field Foundation Model (FFM) blends data‑driven learning with physics‑based reasoning, creating a virtuous data flywheel that continuously refines uncertainty assessment, risk calculation, and decision‑making across deployments. The platform eliminates dependence on pre‑trained data, GPS, maps, or pre‑programmed routes, enabling rapid scaling of autonomous fleets worldwide. By focusing on safety‑first autonomy, Field AI distinguishes itself as a leader in deploying robots at scale across any robot type and environment. The company’s culture prioritizes rigorous engineering, continuous improvement, and collaboration with partners to push the boundaries of robotic autonomy.
Keep exploring

Field AI
Field AI
G42
Field AI
Field AI

Intrinsic