Applied AI Engineer (EDA), Platform Architecture

Apples Platform Architecture group develops the next generation of Apple hardware and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation this role you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA) building autonomous agents that triage errors tune simulation parameters and drastically reduce maintenance burdens for silicon verification teams.

In this role you will focus on AI based automations infrastructure development and continuous experimentation at the intersection of hardware design and verification.

Design and deploy autonomous AI agents to review design changes resolve conflicts and triage elaboration and simulation AI-driven workflows to flag simulation performance and design concerns automatically tune design parameters and explore optimization candidates internal and external EDA tools (e.g. Logic Equivalence Checking wave dumps design libraries) to automatically diagnose issues and explore design and maintain AI harnesses scripts and infrastructure to support continuous research and data-driven experimentation to optimize prompts and harnesses; measure and improve token efficiency task completion and hallucination and evaluate emerging machine learning and Large Language Model (LLM) use cases in the broader industry for application in silicon design travel (approximately once a year) to collaborate with development groups in the US.

Bachelors degree in Computer Science Electrical Engineering Machine Learning or a related field (or equivalent practical experience).nExperience in one of the following two areas: Applied AI (experience building deploying and maintaining LLM-based applications agentic workflows or advanced prompt engineering combined with an entry-level familiarity with EDA tools or hardware verification concepts) or EDA/Silicon (experience with RTL design simulation or hardware emulation platforms combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems).nExperience with scripting infrastructure development and software engineering (e.g. Python C/C).

Masters in Computer Science Electrical Engineering or a related AI/Hardware field.n10 years of relevant industry -on experience with Design Verification tasks requiring application of EDA tools including Logic Equivalence Checking (LEC) linting / static analysis tools waveform debugging and simulation / emulation with Verilog SystemVerilog or architecting HDL testbenches for functional developing software tools for co-simulating designs across multiple high-performance exploring unfamiliar codebases researching cutting-edge techniques and rapidly prototyping automated applying research methods: literature review data-driven experimentation analyzing communication skills with the ability to collaborate effectively with cross-functional silicon engineering design verification and EDA development teams.