Photonics Design Engineer

What you'll do

• Develop computational physics and simulation platforms, including machine-learning-assisted design workflows.
• Design and model photonic devices, using deep-learning surrogate models and inverse design to optimize performance under manufacturing tolerances.
• Coordinate with cross-functional teams and external vendors on prototypes, and feed experimental and manufacturing data into design workflows.

What they ask for

• B.S. in Electrical Engineering, physics, applied mathematics, Computational Sciences, or an equivalent field.
• Experience in semiconductor and photonic device design and development, and data analysis.
• Experience in electromagnetics modeling, inverse design, and/or Machine Learning.

Nice to have

• M.S./Ph.D. in Electrical Engineering, physics, applied mathematics, Computational Sciences, or an equivalent field.
• 3+ years’ experience with in-depth understanding and proficiency in electromagnetics modeling, inverse design and Machine Learning; familiarity with semiconductor device physics.

Pay

$150,400 and $225,300 USD base salary

Tools

computational physics, electromagnetics modeling, Machine Learning, deep learning surrogate models, inverse design

AI focus

Uses machine learning and deep-learning surrogate models for photonic-device design, inverse design, and optimization informed by experimental and manufacturing data.