Silicon Photonics Design Engineer - Biophotonics

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product! Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day!

Description

Apple is looking for a Photonics Design Engineer to work on the development of novel integrated photonic devices that will enable breakthrough sensing applications in Apple products. You will work within an optical science team and collaborate with a multi-disciplinary group to demonstrate new photonic components and sensor concepts. The candidate will be responsible for design, simulation, and characterization of silicon photonic components to enable the next generation of photonic integrated circuits.

Minimum Qualifications

BS and a minimum of 10 years relevant industry experience Experience with simulation and modeling of photonic components

Preferred Qualifications

Master’s or PhD degree in Physics, Optics, Electrical Engineering or equivalent fields Deep understanding of optoelectronics, photonics, and semiconductor devices Extensive design and modeling experiences of passive and active components on SOI platforms Experience in designing MUX/DeMUX components Experience in circuit simulation, high order mode mitigation or polarization management Good understanding of optical measurement techniques and hands-on experience in device characterization Strong programming skills and proficiency in statistical data analysis in Python, Matlab, JMP or similar.