Applied AI Engineer, Platform Architecture

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
91 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $202k
This role $255k
$130k most similar roles pay here $346k

This role pays more than 88% of similar roles. Most pay $162,000–$241,750 — the shaded band above. At the midpoint, this role pays about $255k versus about $202k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer, Platform Architecture

The Applied AI Engineer (EDA), Platform Architecture joins the Platform Architecture group to develop high-performance verification systems and tools for next-generation hardware. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation by building and deploying agentic AI workflows to automate pre-silicon validation processes. Your daily responsibilities include designing autonomous agents to triage errors, tuning simulation parameters, and developing infrastructure to support continuous research. You will utilize Python, C/C++, and various EDA tools including Logic Equivalence Checking, wave dumps, and design libraries. The role involves conducting data-driven experiments to optimize prompts and measure token efficiency while tracking emerging LLM use cases for silicon design workflows. This position addresses the technical challenge of reducing maintenance burdens for silicon verification teams through automated diagnosis and exploration of design alternatives.

What you'll do

  • Design and deploy autonomous AI agents to triage errors, resolve conflicts, and review design changes.
  • Develop AI-driven workflows to automatically tune design parameters and identify optimization candidates.
  • Integrate internal and external EDA tools to diagnose issues and explore design alternatives.
  • Build and maintain infrastructure, scripts, and harnesses to support continuous research and experimentation.
  • Conduct data-driven experiments to optimize prompt engineering, token efficiency, and hallucination rates.
  • Research and evaluate emerging LLM use cases for application in silicon design workflows.

What we're looking for

  • Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).
  • Master's degree in Computer Science, Electrical Engineering, or a related AI/Hardware field is preferred.
  • Experience in Applied AI involving LLM-based applications, agentic workflows, and advanced prompt engineering.
  • Experience in EDA or Silicon including RTL design, simulation, hardware emulation, or applying ML to hardware problems.
  • Proficiency in scripting, infrastructure development, and software engineering using Python or C/C++.
  • 10+ years of relevant industry experience is preferred.
  • Hands-on experience with Design Verification tasks, including Logic Equivalence Checking, linting, waveform debugging, and simulation flows.
  • Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification.

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