Machine Learning Physical Design Engineer

Summary

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, hardworking 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!

As a member of our dynamic ML PD group, you will have the rare and rewarding opportunity to craft and implement methodologies and solutions with a high impact on upcoming products that will delight and inspire millions of Apple’s customers every single day.

In this role, you will be part of a very unique team that develop new physical design methodologies using ML, AI and state of the art Algorithms. You will have the opportunity to help each of our SOCs to be even more optimal in terms of Power, Performance, and Area (PPA) and you will help to improve the RTL to GDS cycle.

Key Qualifications

Minimum BS and 3+ years of relevant industry experience.
Experience in physical design and/or experience with various machine learning algorithms, from logistic regression to deep neural networks and reinforcement learning.
Excellent programming skills in Python.
TCL or C++ is a plus.
Excellent communication and organizational skills.
Solid math background and understanding of algorithms and data structures.
Strong intellectual curiosity.
Solid understanding of circuit design is a plus.
Experience with flow development for a large number of users on a tight schedule is a plus.

Description

As a Machine Learning Physical Design Engineer, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next generation of Apple products.

• You will use your experience in physical design and/or machine learning to solve very hard and unique problems.
• Your work will directly impact vast areas of the flow including logic synthesis, floor planning, power/clock distribution, place and route, timing/noise analysis, power/thermal analysis, voltage drop analysis, design for manufacturing/yield, and beyond.
• As part of your work, you will collaborate multi-functionally with design, power, post silicon, CAD, software and machine learning teams in an engaging and rewarding environment.

Education & Experience

Minimum BS and 3+ years of relevant industry experience

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $115,000 and $217,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Role Number: 200477855