Applications Engineer - Advanced Manufacturing

About the role

We are seeking a Sensor Application Engineer who will focus on design and installation and assist with the development (hardware and software), of sensor systems for advanced manufacturing systems. They will maintain sensor calibration and quality across a variety of machines and support the development of state-of-the-art sensor technologies and their usage in advanced machine learning algorithms. This position resides in the Manufacturing Systems Analytics (MSA) Group in the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).

Major Duties/Responsibilities

• Design and install image-based and other sensing systems
• Develop data acquisition software for sensing systems
• Maintain and upgrade existing imaging and sensing systems
• Develop new sensing techniques and technologies
• Calibrate sensors and ensure data integrity for use in machine learning algorithms
• Support R&D projects for the MSA Group and across the MDF

Qualifications

• BS in mechanical engineering, electrical engineering, mechatronics, robotics, computer engineering, computer science, or closely related field with at least four years of relevant experience.
• Programming experience, preferably in Python.
• Strong desire to learn new skills and the ability to learn independently.
• Excellent verbal communication skills.
• Desire and ability to work collaboratively in a dynamic team environment.
• At least three of the following:
• Mechanical design experience using 3D CAD software
• Experience with sensor instrumentation, particularly cameras and optics
• Experience with microcontrollers and/or robotics
• Experience with computer vision techniques
• Experience with software development for real-time data acquisition
• Knowledge and/or experience of metal additive manufacturing processes

Preferred Qualifications

• Master’s degree in mechanical engineering, electrical engineering, mechatronics, robotics, computer engineering, computer science, or a closely related discipline.
• Working knowledge of machine learning and deep learning models, including their application within manufacturing environments
• Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
• Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs.