Metrology Engineer

• Bachelor's degree with 2+ years of relevant experience in Mathematics, Computer Science, Physics, Material Science, Engineering, or a similar field. 
• Fluency in Python and machine learning libraries (ex. sklearn), including experience with deep learning frameworks (ex. Keras, TensorFlow, PyTorch).
• Expert in data collection and analysis/interpretation, measurement & analysis automation scripting findings, DOE, SPC. 
• Effective communication and ability to thrive in a cross-functional development team, excellent problem-solving skills, and the ability to work independently as well as part of a team. 

• Experience with JMP and SQL is a plus. 

Diamond Foundry believes in supporting our employees from the workplace to their personal and home life. We provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Perks include employee discounts to VRAI. All benefits offered are available starting your first day.

Diamond Foundry Inc. is solving the thermal limitation at the foundation of today's most exciting tech industries -- AI & cloud compute, electric-car power electronics, and 5G/6G wireless. We have managed to produce the world's first single-crystal diamond wafers and are now on a mission to put a diamond behind every chip. We are the rare unicorn that has grown fast and profitably. We received $515m in funding and are executing a multi-$B expansion plan for one of the greenest forms of tech manufacturing: converting greenhouse gas into diamond wafers using zero-emission energy.

We are seeking an ambitious, skilled, and versatile Metrology Engineer. In this position, you will play a key role in the development and implementation of measurement systems combining physical dimensions determination and defect detection. You will develop and maintain computer vision models for tracking sample defects at various stages of the process. You will also develop 3D measurement capabilities for samples of various sizes and shapes. Based in Zaragoza, you will be an integral part of an experienced team of mechanical, electrical, and materials engineers, and at the interface between R&D, process, and production operations across our various facilities. The position will involve hardware design, data collection, deep learning model training and evaluation, development of post-processing scripts, and data analysis.

• Development of routines for 3D measurements and extraction of form, dimensions, surface roughness/flatness.
• Development, testing, and maintenance of deep learning vision models.
• Developing tools for monitoring model performance and data integrity.
• Effectively communicating results and recommending a course of action.
• Acting as a point of contact between the metrology team and the process and production teams to define requirements and metrics. You will also partner with vendors to evaluate new optical/vision characterization equipment and technologies, upgrade existing tools, and expand capacity/throughput.