Optical Thin Film Coating Material Engineer

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities

Lead the development of thin optical coating stacks at vendors, ensuring consistent performance and design across multiple suppliers.

Manage material DOEs, analyze test results, and select the best materials for applications such as lens covers and display glass.

Collaborate with process engineers, FEA, product designers, industrial designers, and reliability teams on material qualification and product-level testing.

Solve mission-critical issues related to coatings to ensure high-quality standards for mass production.

Qualifications

• Minimum qualifications:

• Bachelor's degree in Materials Science, Mechanical Engineering, or a related technical field, or equivalent practical experience.

• 5 years of experience in working with optical coatings, Physical Vapor Deposition (PVD), and material integration.

Preferred qualifications

• Master’s degree or PhD in Physics, Optical Sciences, Material Science or related fields.

• Experience leading cross-functional efforts, influencing program roadmaps via data-driven insights, driving technical initiatives impacting multiple products, and mentoring junior engineers while growing the technical excellence of multidisciplinary teams.

• Experience working with FEA/CAE teams to correlate empirical data with predictive system-level models.

• Deep expertise in PVD, optical coatings, and advanced characterization protocols.

• Familiarity with AI-assisted design and analysis tools, with enthusiasm for advancing them.

• Proven ability to execute complex projects and resolve urgent cross-functional roadblocks.