Optical Architect - AI Accelerators

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

Minimum 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