Robotics Research Internship-Locomotion & Planning; Summer
Listed on 2026-06-26
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Engineering
Robotics
About the Internship
Field AI is building the future of autonomy—from rugged terrain to real‑world deployment. We’re on a mission to develop intelligent, adaptable robotic systems that operate beyond simulation and thrive in unpredictable environments.
We are offering a Summer 2026 internship focused on learning‑based locomotion and planning for PhD students interested in advancing autonomous legged robot capabilities. As a research intern, you will work at the intersection of reinforcement learning, locomotion control, and learned planning, developing integrated systems that enable robots to move and navigate intelligently through complex, unstructured environments.
ResponsibilitiesYou will collaborate closely with Field AI research scientists and engineers to design experiments, develop locomotion and planning systems, and validate ideas in simulation and on real hardware.
Field AI Onsite Work PhilosophyThis internship is a fully onsite role. Candidates will be expected to work from our Irvine, CA office. In‑person engagement is essential to our success, and we offer flexible working hours to support focus and work‑life balance.
Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
Be Part of the Next Robotics RevolutionWe seek individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires top AI talent as well as exceptional software developers, engineers, product designers, field deployment experts, and communicators.
Join us, shape the future, and be part of a fun, close‑knit team on an exciting journey!
We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.
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