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Diamond Foundry is developing single-crystal diamond wafers to solve thermal limitations in AI, cloud compute, electric-vehicle power electronics, and 5G/6G wireless. The company has achieved unicorn status while growing profitably, with $515M in funding and a multi-billion-dollar expansion plan focused on sustainable manufacturing—converting greenhouse gas into diamond wafers using zero-emission energy.
As a Senior Metrology Engineer based in Zaragoza, you will lead the development and implementation of advanced measurement systems that combine physical dimension determination with defect detection. You will design and maintain computer vision models for tracking sample defects across various process stages, develop 3D measurement capabilities for samples of different sizes and shapes, and work at the interface between R&D, process engineering, and production operations across multiple facilities.
Key responsibilities include:
- Developing routines for 3D measurements and extraction of form, dimensions, surface roughness, and flatness
- Developing, testing, and maintaining deep learning vision models
- Creating tools for monitoring model performance and data integrity
- Communicating results and recommending courses of action to cross-functional teams
- Serving as a liaison between the metrology team and process/production teams to define requirements and metrics
- Partnering with vendors to evaluate new optical and vision characterization equipment, upgrade existing tools, and expand capacity and throughput
You will work alongside experienced mechanical, electrical, and materials engineers, contributing to hardware design, data collection, deep learning model training and evaluation, post-processing script development, and data analysis.
Requirements:
- Bachelor's degree with 2+ years of relevant experience in Mathematics, Computer Science, Physics, Material Science, Engineering, or similar field
- Fluency in Python and machine learning libraries (e.g., scikit-learn)
- Experience with deep learning frameworks (e.g., Keras, TensorFlow, PyTorch)
- Expert-level proficiency in data collection, analysis/interpretation, measurement and analysis automation scripting, DOE (Design of Experiments), and SPC (Statistical Process Control)
- Experience with JMP and SQL is a plus
- Effective communication skills and ability to thrive in cross-functional development teams
- Excellent problem-solving skills and ability to work both independently and collaboratively
