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Senior Optical Design Engineer

Google
Mountain View, CA, USAFull TimeSenior159k–231k USDPosted Today

Minimum qualifications:

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
  • 4 years of experience working in optical design.

Preferred qualifications:

  • Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
  • Specialized experience in optical design.
  • Proven proficiency in Python for automating optical simulations, data post-processing, and generating design reports.
  • Familiarity with camera systems, sensors, and display technologies.

About the job

Join the innovative Pixel Optics team as a Senior Optical Design Engineer. In this role, you will be instrumental in the end-to-end development of advanced optical systems for future Pixel products, specializing in high-fidelity optical modeling and opto-mechanical performance analysis. Your role requires deep expertise in non-sequential ray trace analysis and sequential optical design. You will lead cross-functional efforts to define optical architectures and ensure manufacturability, leveraging your knowledge of Augmented Reality (AR) optical systems to solve complex, ambiguity-driven design challenges.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $231000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Conduct advanced optical system modeling and simulation.
  • Conduct non-sequential straylight simulation and analysis.
  • Drive the optical design and architecture of near-eye displays.
  • Collaborate with Mechanical, Electrical, and Product Design teams to define specifications, manage tolerances, and ensure successful integration of simulated designs into mass-manufacturable hardware.
  • Develop, maintain, and execute complex optical models using industry-standard software and internal Python-based tools for analysis and visualization.
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