AI Methodology Design/CAD Engineer
Apple
- Location
- Onsite (Austin, Texas ยท Cupertino, California)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 days ago
About the Role
Join Apple's Silicon Technologies group to design next-generation high-performance processors and system-on-chips. As part of the Hardware Technology CAD team, you will integrate AI methodologies into chip design flows to enhance efficiency and solve complex engineering challenges.
Skills
VLSI Design
CAD Tools
Python
AI Methodology
LLM Applications
Machine Learning
Chip Design
RTL
Physical Design
Timing Analysis
EDA Tools
Prompt Engineering
Agentic AI
Design Verification
Signoff
System-on-Chip
Full job details
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.
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 requirement of BS and 3+ 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 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
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 3+ 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