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Apple

engineering opportunity

AI Methodology Design/CAD Engineer

You will partner with design teams to integrate AI methodologies into the chip design flow and develop CAD tools to enhance efficiency. This involves tuning AI agents, evaluating model performance, and building solutions for complex challenges across the entire silicon design lifecycle.

Cupertino, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Apple?

Do you love creating elegant solutions to highly complex challenges? Do you

intrinsically see the importance in every detail? As part of our Silicon

Technologies group, you'll help design and manufacture our next-generation,

high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure

Apple products and services can seamlessly and efficiently handle the tasks that

make them beloved by millions. Joining this group means you'll be responsible

for crafting and building the technology that fuels Apple's devices. Together,

you and your team will enable our customers to do all the things they love with

their devices. As part of the Hardware Technology CAD team, you'll help bring AI

methodology to chip design. You will work end to end with design teams and CAD

flow owners on complex design and CAD challenges, in areas such as custom and

analog design, RTL and front end, design verification, physical design, timing,

extraction and signoff. You will build and evaluate AI solutions for these

challenges, with a focus on the quality of their results. We are looking for a

VLSI design or CAD engineer who is passionate about applying AI to chip design.

DESCRIPTION

In this highly visible role, your primary responsibilities will include:

Partnering with design teams and CAD flow owners across multiple projects to

understand complex design challenges and where AI can help Contributing to

evaluation data and quality metrics, and running evaluations across models to

find where an agent fails Tuning AI agents, including their prompts, tools,

agent skills and choice of model Developing CAD tools and flows that let AI

agents work with design data and EDA tools Evaluating AI tools from EDA vendors

alongside in-house solutions Enabling the organization to leverage AI

capabilities and drive efficiency in chip delivery

MINIMUM QUALIFICATIONS

Minimum requirement of BS 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

PREFERRED QUALIFICATIONS

Experience building LLM applications or tool-using AI agents, including Model

Context Protocol (MCP) servers Experience evaluating or tuning AI systems, such

as agent performance or output quality Experience applying machine learning to

design data, such as predicting timing or power Understanding of the chip design

flow, from spec to tapeout Hands-on knowledge of industry-standard EDA tools for

simulation, synthesis, place and route, extraction, timing or physical

verification Experience developing CAD tools, CAD flows or design methodology

Experience writing testbenches, regression tests or signoff checks

Which skills does this role require?

VLSI DesignPythonAI MethodologyAgentic AIRTLPhysical DesignTiming AnalysisModel Context ProtocolPrompt EngineeringSystem-on-ChipDesign VerificationCAD EngineerSilicon TechnologiesSoCVLSIHardware TechnologyLLMs

Make your next move

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Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

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