Robotics Engineer

Responsibilities: · Research and integrate new technologies into product designs.

· Collaborate with product designers to create and refine mechanical and mechatronic components.

· Design, set up, and execute lab experiments.

· Collect, process, and analyze experimental data to validate hypotheses and inform design decisions.

· Develop and implement algorithms for kinematics, dynamics, and control.

· Collaborate with mechanical, controls, and systems engineers to perform failure and root cause analyses, then implement design improvements in iterative R&D cycles.

· Participate in the full product lifecycle — from concept and prototyping to validation, and production support.

· Manage schedules and testing milestones, providing progress updates to project managers.

Requirements: · Master’s degree in Mechanical Engineering, Mechatronics, Robotics, or related field with a focus on mechanical/hardware systems.

· Proficiency in mechanical design, tolerance analysis, root cause analysis, DFM, and DFA.

· Skilled in 3D CAD software (e.g., SolidWorks, Autodesk Inventor, Fusion 360, CATIA, or similar).

· Experience in Design of Experiments (DoE) for mechanical, mechatronic, and control systems.

· Familiarity with C/C++ and MATLAB/Python for data analysis.

· Strong understanding of robot kinematics, dynamics, and control theory.

· Hands-on skills with rapid prototyping tools and techniques, PCB soldering, and circuit debugging.

· Knowledge of system dynamics, vibrations, and linear systems.

· Strong problem-solving, analytical, communication, and documentation skills.

· Experience in robotics system design, integration, and control.

· Experience integrating and calibrating Force Torque sensors, IMU, cameras, or other perception devices.

· Familiarity with robot simulation tools (Gazebo, PyBullet, MuJoCo, Isaac Sim, or similar).

· Knowledge of ROS/ROS2 for robotic system integration.

· Experience in model-based control, impedance/admittance control.

· ARM-based embedded programming experience.

· Exposure to machine learning for robotics.