Photonics Design Engineer

Apple • Cupertino, CA

2d

About The Position

As a Photonics Design Engineer within the Camera Semiconductor Devices organization, you will explore and develop advanced photonic devices for future applications. You will lead large-scale computational modeling and machine-learning-driven design workflows, working with cross-functional teams and external vendors to move next-generation optical components from concept to production. You will manage end-to-end device simulation and evaluation, using data-driven insights to communicate engineering risks and architectural merits and support strategic decisions.

The role owns development of the computational physics and simulation platform, from first-principles algorithm implementation to machine-learning-assisted design workflows. It includes implementing deep-learning surrogate models and inverse design to optimize device performance under real-world manufacturing tolerances; designing and modeling photonic devices for camera and sensing applications; and coordinating prototype development with vendors. Experimental and manufacturing data are fed back into the machine-learning pipeline to optimize high-volume production.

Requirements

• Bachelor’s degree 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.
• Familiarity with semiconductor device physics.
• Strong problem-solving skills.
• Proactive attitude, aptitude to learn, and ability to resolve challenges independently.
• Passion for taking responsibility and driving results.
• Excellent teamwork and communication skills.

Nice To Haves

• Master’s or Ph.D. degree in Electrical Engineering, physics, applied mathematics, computational sciences, or an equivalent field.
• At least 3 years of experience with in-depth understanding and proficiency in electromagnetics modeling, inverse design, and machine learning.

Responsibilities

• Lead large-scale computational modeling and machine-learning-driven design workflows.
• Manage end-to-end device simulation and evaluation, using data-driven insights to communicate engineering risks and architectural merits.
• Own development of the computational physics and simulation platform, from first-principles algorithm implementation to machine-learning-assisted design workflows.
• Implement deep-learning surrogate models and inverse design to optimize device performance under real-world manufacturing tolerances.
• Design and model advanced photonic devices for high-performance camera and sensing applications.
• Collaborate with cross-functional teams to explore novel system solutions.
• Partner with external vendors to coordinate prototype development.
• Feed experimental and manufacturing data back into the machine-learning pipeline to optimize high-volume production.

What This Job Offers

• Job Type: Full-time