Lab Engineer - Robotics and AI

UAENationals are preferred to apply

Khalifa University and the College of Computing and Mathematical Sciences seek a dynamic and dedicated individual for the position of Senior Lab Engineer in the Computer and Information Engineering (CIE) Department with specialization in Robotics and AI

Position Overview :

As a Lab Engineer, you will collaborate with CIE Department faculty to support undergraduate Robotics labs in areas such as:

• Software control and motion planning for mobile and manipulator robots
• Autonomous navigation using sensor fusion (LIDAR, IMU, camera)
• Robot sensing and SLAM
• Robotic kinematics, dynamics, and control theory
• Manipulation and grasping techniques
• Machine learning and AI in robotics
• Design, simulation, and testing of robotic systems

Job Responsibilities:

• Coordinate with CIE Department faculty involved in the course and organize the lab teaching schedule
• Instruct assigned lab courses, oversee students’ lab activities, and assess student work
• Prepare or update the lab manual in accordance with the course curriculum
• Manage the inventory of laboratory equipment and consumables, as well as lab software.
• Ensure that all laboratory activities comply with applicable EHS regulations, policies, and guidelines.
• Provide laboratory health and safety inductions for users, and conduct routine maintenance and calibration of equipment to maintain accuracy and efficiency in experimental results.
• Support academic and research initiatives of the department and participate in student-related events.
• Take part in the ongoing development and modification of undergraduate programs.

Qualifications:

• Bachelors’ degree in Computer Engineering or Mechatronics Engineering, with a strong academic record.
• At least 2 years of relevant experience, including proficiency in:
• Programming languages: C++, Python
• ROS2 and simulation tools such as Gazebo, RViz, and visualization pipelines
• Integration of robotic sensors: IMUs, LIDAR, cameras, encoders
• Signal processing and real-time control for robotic systems
• Embedded platforms (e.g., Arduino, STM32, Raspberry Pi, NVIDIA Jetson)
• Quanser platforms and QUARC real-time control software
• Experience with robotic modelling and control tools such (MATLAB/Simulink)