Job Opportunity: Physical Design Engineer - Machine Learning at Apple

Posted: Jun 21, 2024

Role Number: 200509581

At Apple, our products begin with our people. We believe in hiring a diverse team to drive creative thought and innovation. By providing our teams with everything they need, we foster an environment that encourages precision and collaboration. By working together, we create memorable experiences for our customers. Join Apple to be a part of a hands-on development team that sets the standard in cultivating excellence, creativity, and innovation. Help us design the next generation of revolutionary Apple products.

Job Summary

We are seeking a forward-thinking and exceptionally talented engineer to join our dynamic group. In this role, you will have the unique opportunity to craft and implement methodologies and solutions that will have a significant impact on upcoming products, delighting and inspiring millions of Apple customers every day. You will be directly involved in our physical design machine learning efforts, collaborating closely with our internal multifunctional teams, and leveraging your expertise in machine learning and physical design to ensure our SoCs achieve the optimal Power, Performance, and Area (PPA).

Key Responsibilities

As a member of the physical design machine learning architecture team, you will:

• Be part of a dynamic team that is building the most efficient application processors, powering the next generation of Apple products.
• Use your experience in physical design and machine learning to solve complex and unique problems.
• Directly impact various areas of the flow including RTL design, 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.
• Collaborate cross-functionally with design, power, post-silicon, CAD, software, and machine learning teams in an engaging and rewarding environment.

Minimum Qualifications

• Bachelor's degree and 10+ years of relevant industry experience.
• Strong intellectual curiosity.
• Solid math background and understanding of algorithms and data structures.
• Solid understanding of VLSI fundamentals, including physical design.

Preferred Qualifications

• Practical experience and knowledge in advanced machine learning algorithms such as GNNs, VAEs, transformers, diffusion models, and LLMs.
• Excellent programming skills in Python and C/C++.
• Master's or PhD with relevant publications in Machine Learning and/or EDA algorithms.
• Excellent communication and organizational skills.

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 the role. The base pay range for this role is between $170,700 and $300,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become Apple shareholders 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. Additional benefits include:

• Comprehensive medical and dental coverage.
• Retirement benefits.
• A range of discounted products and free services.
• Reimbursement for certain educational expenses—including tuition for formal education related to advancing your career at Apple.
• Discretionary bonuses or commission payments and potential relocation assistance.

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Note: Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity

Apple is an equal opportunity employer committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant