Robotic AI Intern

Internship Duration : 3–6 months (full‑time preferred; outstanding part‑time candidates considered)

About the Role

We are looking for a high‑potential Robotic AI Intern o join our robotics and AI solution team. This internship offers hands‑on exposure to real robotic systems , edge AI , and intelligent perception, planning, and control , working closely with senior robotics architects and engineers on real projects. This role is ideal for students who want to bridge AI algorithms and real‑world robotic deployment rather than only academic simulations.

Responsibilities

Develop and evaluate AI algorithms for robotics , such as:; Perception (vision, sensor fusion); Motion planning and decision‑making; Learning‑based control (e.g., imitation learning, reinforcement learning); Implement and optimize algorithms in real robotic systems or simulators (e.g., AMR, robotic arm, humanoid, drone).; Implement solutions using Python and/or C, C++ .; Work with robotics frameworks such as ROS / ROS2 .; Integrate AI models with sensors (camera, LiDAR, IMU), actuators, and embedded platforms.; Design experiments, run simulations, and analyze performance data.; Evaluate AI models on latency, accuracy, robustness .; Support demo systems and proof‑of‑concept development.; Collaborate with cross‑functional teams (robotics, embedded, system, product).; Clearly document designs, experiments, and results.; Present findings to technical and business stakeholders.

Requirements

Currently pursuing Master’s, or PhD degree in:; Robotics, Artificial Intelligence, Computer Science, Electrical Engineering, or related fields; Strong foundation in at least one of the following:; Robotics fundamentals (kinematics, dynamics, control); Machine learning / deep learning; Computer vision or sensor fusion; Proficient in Python, experience with C , C ++ is a strong plus; Familiar with Linux development environment; Solid problem‑solving skills and ability to learn quickly

Nice to have

Hands‑on experience with:; ROS / ROS2; PyTorch, TensorFlow, or similar ML frameworks; Real robots (AMR/AGV, robotic arms, humanoid robots, drones); Experience with simulation tools:; Gazebo, Isaac Sim, MuJoCo, or similar; Exposure to edge AI, embedded systems, or hardware‑software co‑design; Publications, Kaggle projects, GitHub repositories, or open‑source contributions related to robotics or AI

Benefits

Hands‑on experience with industrial‑grade robotic AI systems; Mentorship from senior robotics architects and engineers; Opportunity to work on real customer solutions and demos; Exposure to edge AI platforms and system‑level design; Strong opportunity for return offer / full‑time conversion for top performers