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.

Job Type: Full-time

Pay: $120,000.00 - $140,000.00 per year

Ability to commute/relocate: 160 E Tasman Drive, STE 215, San Jose, CA 95134: Reliably commute or planning to relocate before starting work (Preferred)