Senior Epitaxy Metrology Engineer, Raxium

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $231000 (USD) + 15% bonus target + bonus + equity + benefits

Learn more about benefits at Google.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Chemical Engineering, Material Science, Physics, or a specialized field (e.g., Epitaxy, Optics, Sensors, Photonics), or equivalent practical experience.
• 4 years of experience with metrology techniques in a semiconductor fabrication environment.
• Experience with data analysis and statistical methods, such as statistical process control (SPC).
• Experience with various metrology tools and techniques, such as PL Spectroscopy, X-Ray Diffraction, Flourescence Spectroscopy, Microscopy, Laser/White Light Interferometry.

Preferred qualifications:

• Master's degree or PhD in Chemical Engineering, Material Science, Physics, or a specialized field (e.g., Epitaxy, Optics, Sensors, Photonics), or equivalent practical experience.
• Experience with applying measurement systems analysis for assessing tool performance.
• Experience with semiconductor characterization techniques, and the knowledge of working principles and data interpretation.
• Proficiency in programming languages such as Python or MATLAB for data analysis and automation.