Applied AI Engineer (EDA), Platform Architecture

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $207k
This role $250k
$147k most similar roles pay here $337k

This role pays more than 84% of similar roles. Most pay $168,262–$245,280 — the shaded band above. At the midpoint, this role pays about $250k versus about $207k 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 1798 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1459 roles with salary data.

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At a glance

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

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As an Applied AI Engineer in Apple’s Platform Architecture group, you will join a team dedicated to advancing pre-silicon validation through innovative simulation solutions. Your primary responsibilities include designing autonomous AI agents that automate error triage and parameter tuning for silicon verification processes, developing AI-driven workflows to enhance design performance, and applying EDA tools like Logic Equivalence Checking to diagnose issues autonomously. You will also build and maintain infrastructure supporting continuous research and experimentation, focusing on optimizing token efficiency and reducing hallucination rates in prompts. This role requires expertise in scripting languages such as Python and C/C++, along with a background in either applied AI or Electronic Design Automation (EDA), ideally complemented by experience in hardware verification concepts and software automation for hardware problems.

Skills

Python C/C++ LLM-based applications EDA tools Logic Equivalence Checking linting/static analysis tools waveform debugging simulation/emulation flows Verilog SystemVerilog HDL testbenches co-simulation data-driven experimentation CI/CD

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 design alternatives autonomously.
  • Build and maintain infrastructure supporting continuous research and experimentation in AI and EDA.
  • Conduct data-driven experiments to optimize AI harnesses and measure task completion efficiency.
  • Track and evaluate 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 other EDA tools.
  • Hands-on experience with RTL design and simulation/emulation platforms.
  • Ability to conduct data-driven experimentation and analyze results effectively.

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