Optical Engineers at Meta will play a pivotal role in shaping the future of wearable systems, exploring uncharted territories for next-generation wearable devices. This role involves designing architecture and optical sub-systems for wearable glasses, developing and implementing test, characterization, metrology, and data solutions to support transparent display systems.
Responsibilities
Lead cross-functional teams in the design, development, and implementation of cutting-edge optical solutions for new optics architectures Identify, incubate, and productize optical technologies that have the potential to revolutionize the field of wearable optics Specify key performance metrics, test methods, and test requirements for optical components and systems Develop and maintain technical roadmaps Interface with stakeholders and leadership to influence product roadmaps Stay updated on industry trends, emerging technologies, and competitor activity Manage budgets, resources, and collaborations with global vendors
Qualifications
Bachelor’s or Master’s degree in Optical Engineering, Electrical Engineering, Physics, and/or equivalent practical experience 8+ years of experience in optical systems engineering and/or other relevant fields Experience in the wearables industry, including human-vision, optical design, coating, and manufacturing process, or similar experience Experience communicating and collaborating in a cross-functional team environment Experience in Design of Experiment and statistical analysis using JMP, Matlab, or similar programs PhD in Optical Engineering, Photonics, Optics, Physics, and/or equivalent practical experience 8+ years of experience in architecture, design, systems engineering for augmented reality optical/display systems In depth knowledge of entire optical system design from electron to photon to the eye for display systems Demonstrated experience in operating with speed and agility in ambiguous or fast-moving environments, including startup or early-stage product development experience Proven experience in technical communication to influence architecture decisions across organizational boundaries Experience incorporating AI/ML tools or computational methods into engineering design workflows