AI Methodology Design CAD Engineer

Apple Inc

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Work type: On-site
Location: Austin, TX
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Similar $202k

$139k most similar roles pay here $261k

This listing doesn't post a salary. Most similar roles pay $162,000–$241,750.

Based on 240 similar postings.

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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 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

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At a glance

TL;DR · AI Methodology Design CAD Engineer

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As an AI Methodology Design/CAD Engineer within the Silicon Technologies group, you will join the Hardware Technology CAD team to integrate AI methodologies into chip design processes. You will partner with design teams and CAD flow owners to address complex challenges in areas such as custom and analog design, RTL, front end, design verification, physical design, timing, extraction, and signoff. Your daily work involves building and evaluating AI solutions, tuning agent prompts and skills, developing CAD tools that allow agents to interact with EDA tools, and evaluating vendor offerings against in-house solutions. You will utilize Python programming and experience with LLM applications, Model Context Protocol servers, and machine learning for predicting timing or power. This role focuses on solving technical hurdles in the chip design flow from specification to tapeout to improve efficiency in delivering high-performance processors.

Skills

AI LLM Python VLSI EDA Tools CAD Flows Machine Learning Model Context Protocol (MCP) RTL Physical Design Synthesis Place and Route Testbenches

What you'll do

Identify complex chip design challenges and determine where AI solutions can provide improvements.
Build and evaluate AI solutions for custom, analog, RTL, physical design, timing, and signoff tasks.
Tune AI agents by optimizing prompts, tools, agent skills, and model selection.
Develop CAD tools and flows that enable AI agents to interact with design data and EDA tools.
Evaluate the quality of AI tools from external vendors against in-house solutions.
Establish evaluation data and quality metrics to identify failure points in AI models.
Drive organizational efficiency by integrating AI capabilities into the chip delivery process.

What we're looking for

Bachelor of Science degree and 10+ years of relevant industry experience.
Experience using AI tools, such as AI coding assistants, in engineering work.
Experience in VLSI design, CAD tools, or CAD flows.
Experience in Python programming.
Experience building LLM applications or tool-using AI agents, including Model Context Protocol (MCP) servers (preferred).
Experience evaluating or tuning AI systems, such as agent performance or output quality (preferred).
Experience applying machine learning to design data, such as predicting timing or power (preferred).
Understanding of the chip design flow from spec to tapeout and knowledge of industry-standard EDA tools (preferred).