Optical Engineer - Optical Coating Development

At Facebook Reality Labs (FRL), our goal is to explore, innovate and design novel interfaces and hardware subsystems for virtual, augmented, and mixed reality experiences. We are looking for a skilled and motivated Optical Coating Development Engineer to join our Optical Product Development team at FRL. In this role, you will lead the development of state-of-the-art thin film coatings for AR/VR products within a fast-paced environment, from concept through technology transfer to high volume manufacturing.

Optical Engineer - Optical Coating Development Responsibilities

• Lead project-level optical coating development activities: design novel thin-film coating structure to meet project requirements and product specification, and develop novel thin-film deposition process solutions to fulfill the thin-film coating design.

• Work effectively with a diverse, interdisciplinary group of researchers & engineers across teams to deliver the coating solutions into final FRL products.

• Take a systematic approach to analyze coating defects and failures to determine root cause and implement corrective actions.

• Communicate within a development team, with internal stakeholders, and with outside vendors.

Minimum Qualifications

• BS Degree in Material Science, Physics, Chemistry, Optical Engineering, or related field or equivalent experience.

• Experiences with optical film software (eg Essential Macleod, OptiLayer and TFCalc.).

• Knowledge of thin-film characterization techniques (eg ellipsometry, FTIR, XRD, SEM, EDX, RBS, and SIMS).

• 3+ years of experience in developing novel thin-film process solutions.

Preferred Qualifications

• 5+ years hands-on experience in multiple conventional thin film deposition technologies (thermal and electron-beam evaporation, sputtering, chemical vapor deposition) and thorough understanding of the physics and practical mechanics of these processes.

• Demonstrated track record of successfully transferring into high volume manufacturing.

• Understanding of thin film fundamental design theory and material properties.

• Knowledge and experience on hard/dip coating, roll-to-roll and nanostructure coating.

• Knowledge of statistical method and experience in data analysis with tools such as MATLAB, JMP or Python.