Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
G
Google
Senior Optical Multi-Physics Simulation Engineer
Career Insights for Optical / Laser Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on California data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
An Optical or Laser Engineer researches and develops technology that uses the science of light (optics). Optical technology includes fiber optic cables, which enable high-speed internet connections across long distances, and lasers, which can be used to make very small incisions and measurements. Works closely with scientists and engineers from other fields on advances in technology.
$143,629 / year median in California
-3% projected decline
Job Description
Senior Optical Multi-Physics Simulation Engineer Google - 4.3 Mountain View, CA Job Details Full-time $159,000 - $231,000 a year 1 day ago Qualifications Thermal analysis Managing projects in an engineering role Optics Collaboration with product development teams Consumer electronics Design engineering Simulation tools Systems analysis Cross-functional team management Mechanical knowledge Cross-functional communication Structural analysis Full Job Description 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 in opto-mechanical design and simulation for consumer electronics. Experience performing STOP thermal and structural analysis and optical system modeling. Experience in STOP design software (e.g., Zemax STAR module, Sigfit, CodeV). Experience leading technical projects and collaborating with executive cross-functional engineering teams to deliver objectives and timelines.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Preferred qualifications:
Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP). Experience in Python for automating optical simulations, data post-processing, and generating design reports. Familiarity with camera systems, sensors, and display technologies. About the job 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. This highly technical role requires deep expertise STOP (Structural, Thermal, Optical Performance) analysis. You will lead cross-functional efforts to define optical architectures and ensure manufacturability, leveraging your knowledge of optical systems to solve complex, ambiguity-driven design challenges. The Technical-Engineering Imaging and Vision team develops Google Pixel hardware. As a multi-physics simulation engineer, you will play a critical role in shaping next-generation devices used by millions globally. From initial design and simulation to final analysis and validation, we develop the optical architecture that defines Pixel's hardware.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.