Senior Robotics Manipulation Engineer

Your Mission

This position is responsible for optimizing the manufacturing processes by creating innovative robotic manipulation technologies and actuation applications. He/she will be involved in the development of pick-and-place and pick-and-assemble intelligence, including motion planning, robotic manipulator programming and execution.

What To Expect

• Design and develop advanced motion control systems for robotic manipulators used in picking and assembly applications.
• Select, integrate and calibrate various sensors, controllers and actuators for effective robotic perception and manipulation.
• Set up vision systems and develop algorithms for object recognition and pose estimation.
• Study and implementation of pick-and-place as well as pick-and-assemble strategies and algorithms.
• Design and optimize robot trajectories considering factors like joint limits, collision avoidance, and path efficiency.
• Perform kinematic and dynamic analysis of robot manipulators to ensure safe and accurate operation.
• Robot teaching and robotic manipulator simulation for new applications and deployments.
• Program robots using industrial robot programming languages (e.g., Yaskawa, ABB, KUKA), or C/C#/C++, Python, etc.
• Documentation of technical reports, program codes, and set-up manuals.

What You'll Bring

• A Masters or Ph.D degree in Electrical/Mechanical/Computer Engineering or relevant discipline with more than 5 years of industry experience.
• Extensive experience in robotic manipulator kinematics, dynamics, control, and motion planning.
• Proven competence in creating his/her own pick-and-place or pick-and-assemble algorithms and deploying them.
• Working knowledge of industrial robot arm controllers and sensors integration as well as work cells setup.
• Solid knowledge of grip mechanism, computer vision, AI, trajectory planning, and pick-and-place application design.
• Familiarity with object detection, recognition and segmentation AI frameworks (e.g., YOLO, Faster R-CNN, Mask2former).
• Understanding of reinforcement learning algorithms and robotic simulation platforms (e.g., MuJoCo, Gazebo, Isaac Sim).
• Familiarity with motion planning algorithms (e.g., RRT) and motion planning libraries (e.g, OMPL, MoveIt!, SBPL).
• Experience in using commericial pre-integrated solutions (e.g, Siemens SRP, ABB RobotStudio, Denso VPS).
• Proficiency in programming industrial robots using manufacturer’s specific language or C/C#/C++, Python, etc.
• Familiarity with ROS 1/2, Linux OS, and other similar libraries or software tools.
• Ability to program microcontrollers and design basic electrical circuitry.
• Any patent, publication, specialist certification, or award in robotics and automation is an added advantage.