Materials Engineer Intern- Surface Finishing, Coating (PhD)

Meta Reality Lab brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Meta's mission of connecting the world. This team has the responsibility for making breakthroughs and delivering them to market at scale. Meta Reality Labs (RL) seeks a Materials Engineer - Surface Finishing, Coating (SUN) - Ph.D. Intern with the ability to bring new materials to consumer products at scale. We are looking for slightly impatient individuals willing to face down their fear of failure to accomplish bold things.

Responsibilities

• Define and execute testing and evaluation of material surface and coatings to determine performance and drive material selection of RL products.
• Identify and develop new novel finishing and coating to enable technology and manufacturing process solutions to be integrated in RL products.
• Support high volume production with material challenges.

Minimum Qualifications

• PhD or PhD students in Material Science, Chemistry, Physics, Mechanical Engineering or equivalent
• First principle understanding of fundamental material microstructure, interfacial interaction, and its correlation with mechanical properties and reliability
• Experience of developing, testing, evaluating and specifying various coatings
• Knowledge with cosmetic surface finishing and coating materials and processes - Organic, Inorganic, PVD, CVD, Plating, Spray etc
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
• Intent to return to full-time degree program after completion of the internship Hands on experience with PVD, CVD, plating, spray, and various deposition techniques
• Knowledge of optical thin film coating
• Analytical and problem-solving skills, including the ability to use statistical tools and techniques