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GenAI Physical Synthesis Engineer

Apple

GenAI Physical Synthesis Engineer

Apple

Austin, TX

·

On-site

·

Full-time

·

2w ago

Compensation

$181,100 - $318,400

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

GenAI

Python

TCL

Perl

Large language models

AI agents

Do you love building intelligent solutions that revolutionize chip design? Do you see the transformative potential of GenAI in physical synthesis workflows? As part of our Silicon Technologies group, you'll pioneer the next generation of AI-powered design automation tools that will accelerate our processor and SoC development. You'll harness cutting-edge GenAI and agentic technologies to solve complex physical synthesis challenges, enabling Apple to deliver even more powerful and efficient silicon. Joining this team means you'll be at the forefront of merging artificial intelligence with chip design, creating intelligent agents that will reshape how we build the technology that powers Apple's beloved devices!

Description:

You will apply your expertise in GenAI, agentic frameworks, and physical synthesis to develop intelligent automation solutions that transform our RTL-to-GDS implementation flows. You will be directly responsible for creating AI-powered agents using technologies like Model Context Protocol (MCP) that can autonomously optimize physical synthesis processes, predict design challenges, and recommend solutions.","responsibilities":"Design and develop GenAI-powered agentic applications for physical synthesis optimization and automation

Implement intelligent agents using Model Context Protocol (MCP) and other agentic frameworks to enhance synthesis flows

Create AI-driven solutions that can autonomously analyze and optimize Physical Synthesis, LEC and DFT Implementation workflows

Build intelligent CAD tools that leverage GenAI for synthesis optimization and automated debugging

Integrate agentic solutions with existing EDA tools (Fusion Compiler, Genus) to create seamless AI-enhanced workflows

Collaborate with cross-functional teams to deploy AI agents across multiple design teams and synthesis flows

Preferred Qualifications:

Understanding of physical synthesis concepts and CAD flows

Experience in Python AI/ML libraries (Py Torch, Tensor Flow, Transformers) and MCP or similar agentic frameworks

Experience developing AI agents or autonomous systems for technical domains

Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques

Experience with agentic AI frameworks beyond MCP (Auto Gen, CrewAI, Lang Chain agents, etc.)

Background in CAD flow or frontend methodology development combined with AI/ML expertise

Experience with Low Power implementation flows (UPF) and AI-driven power optimization

Familiarity with logical equivalence tools (Conformal LEC, Formality) and opportunities for AI enhancement

Knowledge of static timing analysis, place and route tools, and potential AI applications in these domains

Experience with cloud platforms and distributed AI model deployment

Publications or demonstrated expertise in AI applications for EDA or chip design

Minimum Qualifications:

Experience with GenAI frameworks, large language models, and AI agent development

Experience with industry standard Synthesis tools such as Fusion Compiler or Genus

Scripting skills in TCL, Python, or Perl for EDA tool automation

Minimum requirement of BS + 10 years of relevant industry experience

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .

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 $181,100 and $318,400, 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.

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About Apple

Apple

Apple

Public

A technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.

10,001+

Employees

Cupertino

Headquarters

$3.5T

Valuation

Reviews

4.0

10 reviews

Work Life Balance

4.0

Compensation

4.2

Culture

3.8

Career

3.5

Management

3.2

75%

Recommend to a Friend

Pros

Great coworkers and people

Excellent benefits and perks

Fast-paced and engaging work environment

Cons

High expectations and pressure

Management quality varies

Limited career progression opportunities

Salary Ranges

17,968 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$114,215

total / year

Base

$45,686

Stock

$57,108

Bonus

$11,422

$79,951

$148,480

Interview Experience

5 interviews

Difficulty

3.4

/ 5

Duration

28-42 weeks

Offer Rate

20%

Experience

Positive 20%

Neutral 40%

Negative 40%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Culture Fit