Applied AI Engineer (EDA), Platform Architecture

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$126,800–$220,900 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k
This role $174k
$113k most similar roles pay here $255k

This role pays less than 71% of similar roles. Most pay $167,550–$241,600 — the shaded band above. At the midpoint, this role pays about $174k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer (EDA), Platform Architecture

As an Applied AI Engineer in Apple’s Platform Architecture group, you will join a team dedicated to advancing pre-silicon validation processes for Apple hardware. Your primary responsibilities include designing autonomous AI agents that automate error resolution and simulation parameter tuning, developing data-driven workflows to optimize design parameters, and applying EDA tools like Logic Equivalence Checking and waveform debugging to diagnose issues. You will also build infrastructure to support continuous research and experimentation, track industry trends in machine learning and LLMs, and collaborate with cross-functional teams. The role requires expertise in Python, C/C++, scripting, and software engineering, along with a background in either applied AI or EDA/Silicon verification. Ideal candidates have hands-on experience with Verilog, SystemVerilog, and co-simulating designs across high-performance platforms, as well as strong communication skills for effective collaboration.

What you'll do

  • Design and deploy autonomous AI agents for reviewing design changes and resolving conflicts.
  • Develop AI-driven workflows to flag simulation performance issues and tune design parameters automatically.
  • Apply internal and external EDA tools to diagnose issues and explore alternative designs autonomously.
  • Build and maintain infrastructure supporting continuous research and experimentation in AI and EDA.
  • Conduct data-driven experiments to optimize AI harnesses and measure token efficiency, task completion rates.
  • Track emerging machine learning use cases for application in silicon design workflows.

What we're looking for

  • Bachelor’s degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
  • Experience in Applied AI or EDA/Silicon fields as specified.
  • Proficiency in scripting languages like Python and C/C++ for infrastructure development.
  • Familiarity with Logic Equivalence Checking (LEC) and simulation/emulation platforms.
  • Hands-on experience with Verilog/SystemVerilog and HDL testbenches.
  • Ability to conduct data-driven experimentation and analyze results effectively.

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