Display Research Scientist

Meta

$130K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in optics, physics, electrical engineering, or related field.
  • 3+ years in optical design, display technologies, or computational imaging.
  • Experience with AR display systems and their optical needs.
  • Ability to identify and resolve core research challenges independently.

Responsibilities

  • Develop innovative optical elements for AR display systems.
  • Collaborate with engineers and scientists to create new display architectures.
  • Research emerging optical technologies to improve AR display performance.
  • Solve fundamental problems to enhance immersive AR experiences.
  • Fabricate and model optical components as part of system-level solutions.

Benefits

  • Access to cutting-edge AI and AR technology.
  • Opportunity to work with leading scientists and engineers.
  • Collaboration in a multidisciplinary team environment.
  • Engagement in long-term, impactful research projects.
Full Job Description
Reality Labs focuses on delivering Meta's roadmap through creating advanced AI enabled AR devices. Come work alongside industry-leading scientists and engineers to create the technology that makes AR devices pervasive and universal. Our scientists have experience designing, modeling, and prototyping advanced display systems. This role is focused on long term research typically aiming for a 5+ year horizon for potential intercept. You will work closely with a multidisciplinary team of optical scientists, simulation engineers, and display architects to advance the state of the art in AI enabled AR devices.

Responsibilities

Achieve breakthroughs in future AI enabled AR devices system architecture by identifying and solving fundamental problems to enable immersive AR experiences
• Research and develop advanced optical elements for future AR display systems, including designing, modeling, and fabricating novel optical components that serve as building blocks for AR display systems
• Collaborate cross-functionally with optical system designers, simulation engineers, and other research teams to co-develop new display architectures and integrate device-level innovations into system-level solutions
• Explore emerging optical technologies and evaluate their potential to advance AR display performance, including novel materials, device concepts, and fabrication methods

Minimum Qualifications
• PhD degree in optics, physics, electrical engineering, computer science, computer engineering, relevant technical field, and/or equivalent practical experience
• 3+ years of experience in one or more of the following disciplines: optical design and simulation, optical fabrication, display technologies, computational imaging
• Experience with AR display systems and understanding of their optical requirements
• Demonstrated experience to identify core research problems and drive them to solution with initiative

Preferred Qualifications
• PhD in optics, photonics, physics, materials science, electrical engineering, or a related field or equivalent practical experiences
• 6+ years of experience in one or more of the following disciplines: optical design and simulation, optical fabrication, display technologies, computational imaging
• Experience with holographic optical elements (HOE), volume Bragg gratings (VBG), or photopolymer materials
• Hands-on experiences on designing and executing optical experiments, working in a lab environment as a core part of the job
• Experience designing/building near-eye display prototypes (AR/VR)
• Solid understanding of diffractive optics and holography
• Computational simulation experience with light including: ray-tracing, Fourier optics, electromagnetic simulations (RCWA, FDTD), computer graphics, etc
• Experience building complex experimental systems with lasers, interferometry or diffractive imaging systems
• Experience with various spatial light modulators and display panel technologies
• Track record of novel research (publications, prototypes, or demonstrated technical impact)
• Proficiency with AI tools for scientific research, including computing, design and simulation, experiments, and data analysis
• Experience with advanced nano-photonics technologies including design and fabrication

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