Optical Scientist - Computational Optics (PhD Grad) at Meta

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

181000.0

Posted On

11 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Optical Design, Modeling, Scientific Programming, Data Analysis, Light Propagation, Electromagnetic Modeling, Machine Learning, Deep Neural Networks, Simulation, Optimization, Optical Structures, Holographic Elements, Nanoscale Structures, Algorithms, Distributed Systems, Parallel Computing

Industry

Software Development

Description

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. 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, LightTools, 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 $122,000/year to $181,000/year + bonus + equity + benefits

Responsibilities

The Optical Scientist will be responsible for the optical design and modeling of near-eye display combiners and will develop novel design methodologies and workflows. Collaboration with cross-functional teams will be essential to identify gaps and opportunities for innovative design and optimization methodologies.