Persona AI Inc - Robotics Software Internship, Manipulation
Requirements
• Project or research experience with contact modeling, force/torque estimation, or tactile sensing for dexterous tasks. • Exposure to machine learning for dexterous manipulation, such as learning-based grasp strategies, behavior cloning, or reinforcement learning. • Published research related to manipulation. • Prior internship or hands-on experience in a robotics, autonomy, or hardware startup environment. • Our Internship Program • At Persona AI, our internship program gives you direct, hands-on experience building cutting-edge humanoid robotics alongside industry experts. We offer full-time term opportunities across three upcoming cohorts: • Fall 2026: August – December • Spring 2027: January – May • Summer 2027: May – August • As an intern, you’ll be paired 1:1 with a senior engineer mentor to accelerate your growth and guide your technical contributions. You will bond with your cohort through intern group lunches, gain cross-functional perspective during company-wide learning lunches, and unwind with fun team activities throughout the term. Whether you're working on advanced motion planning or real-world system testing, you'll tackle meaningful engineering challenges while immersing yourself in our collaborative startup culture. • Application Review Process • We evaluate applications as they are received rather than waiting for the posted deadline to pass. Positions for each cohort are filled on a first-come, first-served basis, and the portal will close as soon as all available roles are finalized. • To give yourself the best chance of securing a spot, keep these tips in mind: • Cohort Availability: Popular terms—especially Summer 2027—tend to reach capacity quickly. • Cohort Availability: • Rolling Interviews: Interviews and candidate evaluations begin immediately upon application receipt. • Rolling Interviews:
Responsibilities
• Help design and implement dexterous manipulation algorithms for humanoid robots with high-DOF, multi-fingered hands, working closely with senior engineers. • Contribute to the manipulation pipeline (perception, grasping, trajectory optimization, motion planning, and control) on tasks like precise grasping, dual-arm manipulation, and in-hand object manipulation. • Support the implementation and testing of control strategies for dexterous manipulation, including force/motion control and visual/tactile servoing. • Assist with integrating manipulation components into the humanoid robot's whole-body controller and loco-manipulation efforts. • Build and iterate on digital-twin simulation environments for algorithm development using simulators such as MuJoCo and Isaac Sim. • Run and help design tests in both simulated and real-world environments, and help analyze the results. • Partner with the machine learning team to help train and deploy models for advanced manipulation tasks. • Stay current on manipulation research and bring relevant ideas, traditional and deep learning-based, back to the team. • We're Looking For: • We're Looking For: • Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field. • Coursework, lab research, or project experience (capstone projects, robotics competitions, personal projects) involving control and manipulation of robotic or humanoid arms. • Foundational knowledge of motion planning, control theory, and optimization. • Programming proficiency in C++ and/or Python. • Exposure to relevant robotics libraries or tools (e.g., ROS, MoveIt!, Drake, OpenRAVE) through coursework or projects. • Familiarity with deep learning fundamentals as applied to robotics or manipulation. • Some exposure to computer vision concepts, such as sensors, point clouds, segmentation, and object detection, through coursework or projects. • A strong desire to learn quickly and contribute in a fast-paced startup environment.
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