Optical Scientist - Computational Optics; PhD Grad

Position: Optical Scientist - Computational Optics (PhD Grad)

Summary

At Reality Labs, our goal is to make world‑class consumer virtual, augmented, and mixed reality experiences. Come work alongside world leading scientists and engineers to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. Our Optics, Photonics, and Light Systems (OPALS) Research group is looking for an Optical Scientist to innovate novel near‑eye display technology.

We are seeking a scientist to conceptualize, design and model advanced combiners components & systems relevant to future Augmented Reality display architectures.

Optical Scientist - Computational Optics (PhD Grad) Responsibilities

Optical design and modeling of critical component technology landscape for near‑eye display combiners

Develop novel design methodologies and workflow including playing an integral role in the strategic planning of new algorithms and advancing simulation and optimization capabilities for prospective products and technologies

Collaborate with cross‑functional teams and scientists with specialties in Computation, Optics, Chemistry, Materials Science, Process Development, and Integration to identify both gaps and opportunities for innovative design, modeling and optimization methodologies or tools to overcome existing limitations

Minimum Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

Currently has, or is in the process of obtaining, a PhD in the field of optical sciences, physics, electrical engineering or related field. Degree must be completed prior to joining Meta

1+ years experience in optical design using standard design software such as Lumerical, Virtual Lab, FRED, Light Tools, Zemax, or CODE V

1+ years experience in scientific programming and data analysis tools (e.g. MATLAB, Python, Pytorch, C++, etc.)

1+ years experience with methods of light propagation both in wave and ray domains as well as mixed models and familiarity with local and global optimization algorithm development

1+ years experience with electromagnetic modeling and analysis of nanoscale structures, anisotropic materials, films, or holographic elements

1+ years experience in using machine learning and deep neural networks for simulating or optimizing optical devices in distributed systems and parallel computing environments

Preferred Qualifications

2+ years experience in design and modeling for applied research and/or product development of diffractive waveguide‑based near‑to‑eye display systems w/ coherent and incoherent light sources

2+ years experience in working with electromagnetic theory, modeling optical structures and building software tools for simulation work on distributed systems and parallel computing infrastructure

2+ years experience in using machine learning or deep neural networks for novel nano‑optics design

2+ years experience on training ML‑based surrogate models to estimate ground‑truth optical behaviour

2+ years of experience in design, fabrication and testing of novel optical structures such as metastructures, holographic elements, sub‑wavelength diffractive structures, beam steering elements, etc

Public Compensation

$117,000/year to $173,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and affirmatively action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, or other legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
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Meta may use artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations‑

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