CPU Physical Design Methodology and Optimization Engineer

Company: Apple Inc.
Location: Santa Clara
Posted on: March 18, 2023

Job Description:

CPU Physical Design Methodology and Optimization Engineer 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, hard-working 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 groundbreaking Apple products!In this highly visible role as a part of an industry-recognized and innovative CPU design team; you will contribute to solving intriguing and key problems in the physical design (PD) methodology 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 learning techniques in the silicon design space. Key Qualifications

• Minimum BS and 10+ years of relevant industry experience
• Strong fundamentals in high-performance, low-power physical design techniques with expertise in using industry standard synthesis, PnR and STA tools
• Proficiency in programming and scripting (Python, TCL, Perl) with strong fundamentals in data structures and algorithms
• Strong electrical engineering fundamentals in logic design and digital circuits
• Ability to work independently and/or lead physical design methodology and optimization techniques across partitions in collaboration with x-functional teams
• Excellent communication and interpersonal skills Description As a Physical Design Methodology and Optimization Engineer you will drive or participate in the following:- Develop and/or work on Apple internal and/or 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 with PD, CAD team(s) and external tool vendors on the development of PD and optimization flows and their adoption in CPU design- Work extensively with x-functional implementation, standard cell library, and RTL teams to help optimize and converge complex physical design partitions Education & Experience Minimum BS and 10+ years of relevant industry experience
  • 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 $161,000 and $278,000, 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.

Keywords: Apple Inc., Santa Clara , CPU Physical Design Methodology and Optimization Engineer, Engineering , Santa Clara, California