Summary
Posted: Nov 19, 2020
Role Number:200156648
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experien...Summary
Summary
Posted: Nov 19, 2020
Role Number:200156648
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, intelligent 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. Do you want join us in these pursuits? Join us to help deliver the next groundbreaking Apple product!
In this highly visible role as a part of an industry recognized and very innovative CPU design team; you will contribute to solving intriguing and key problems in the physical design (PD) and optimization space. With a steadfast focus on improving Power, Performance and Area (PPA) of our industry leading CPU designs, you'll have the opportunity to work with most teams in CPU design and influence SOC teams as well. You will also be actively contributing to new and exciting technical areas including applying machine and deep learning techniques in the silicon design space.
Key Qualifications
As a Physical Design Optimization and Methodology Engineer, you will own or participate in the following:
Develop Apple internal and drive cutting edge industry PD and optimization tools and flows for best in class PPA (including but not limited to low power and high performance physical design)
Work extensively with implementation, RTL, circuit design, internal and external CAD teams on the development of PD and optimization flows and their adoption in CPU design
Participate in ongoing projects of applying machine and deep learning techniques in solving key challenges in PD/implementation domain
Education & Experience
BS/MS in Electrical or Computer Engineering is required.
Additional Requirements
Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.