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.

Bonus

• 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.
• Experience working in a Linux development environment.
• Experience with Git and version control workflows for collaborative engineering projects.