CAD Automation and ML Engineer

Quick Facts

• Role: CAD Automation and ML Engineer
• Focus: Machine learning and large language models for circuit design automation and hardware IP reuse

Description

In this highly visible role, you will develop ML and large language model applications that help advanced circuit design software systems understand, explain, and interact with workflows. You will optimize, expedite, and reuse the delivery of hardware IP assets while troubleshooting ML/LLM development issues impacting timelines. You will collaborate with Custom Digital, Analog, Mixed-Signal, and other design teams to apply techniques across products and reduce duplicate design work.

Responsibilities

• Develop ML and LLM applications for circuit design software systems and implement their interaction with compute infrastructure
• Identify opportunities to optimize, expedite, and reuse hardware IP asset delivery
• Support ML/LLM development processes by understanding input data, troubleshooting output, and delivering solutions to internal customers
• Collaborate with multiple design teams to understand needs and apply advanced techniques across products
• Validate ML-based applications with CAD experts, implement enhancements, and evaluate EDA vendor solutions and open-source packages

Requirements

• BS in Computer Science or related field
• 10+ years of relevant industry experience
• Experience developing ML/LLM applications
• Day-to-day work in a Unix shell environment and with code revision control systems
• Transistor-level electrical engineering and circuit analysis software experience (simulation, timing, EM/IR, layout, extraction, or power analysis)

Benefits

• Hands-on experience applying machine learning to circuit design automation and custom IP reuse
• Work across silicon IP development stages and disciplines, including LLM applications (information retrieval, triage, chatbot development) and traditional circuit analysis (timing, static/dynamic IR analysis, simulations, logic equivalency checks, signoff)
• Direct impact on state-of-the-art processor development for Apple products