CAD Automation and ML Engineer

Summary

Are you passionate about designing the world's most advanced silicon? Do you want to write software that helps create the next generation of processors and enable the next remarkable Apple innovation? If so, we invite you to consider joining our team at Apple.

We seek an engineer with a passion for hardware and strong programming and collaboration skills. You will gain hands-on experience in applying machine learning to circuit design automation and the reuse of custom intellectual property (IP). You will develop innovative pipelines to enable design engineers to efficiently drive and interact with their transistor-level analysis workflows, delivering diverse IPs to our numerous cutting-edge integrated circuits (ICs) in development.

In this role, you will acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon IP development, including applications in machine learning (ML) and large language model (LLM) technologies. These LLM applications encompass tasks such as information retrieval, triage, and chatbot development, alongside traditional silicon design areas such as transistor-level extraction, timing analysis, static/dynamic IR analysis, simulations, power EM analysis, signal EM analysis, logic equivalency checks (LEC), and signoff.

The successful candidate will thrive in dynamic, collaborative environments and demonstrate a hands-on, enthusiastic, and self-motivated approach. They will possess a strong drive to succeed in challenging settings and be eager to tackle challenges with innovative solutions. If you are passionate about delivering exceptional user experiences and paying meticulous attention to detail, this role may be the perfect fit for you. As a member of our team, your contributions will directly impact the experiences of millions of Apple customers by delivering state-of-the-art processors to the diverse range of Apple products.

Description

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

• Developing innovative ML and large language model applications to understand, explain, and interact with advanced circuit design software systems. Designing and implementing their interaction with our extensive compute infrastructure.
• Identifying opportunities for optimizing, expediting, and reusing the delivery of hardware IP assets.
• Actively involving yourself in supporting various ML and large language model development processes, including understanding input data, troubleshooting output, resolving software challenges that may impact project timelines, and delivering solutions to our internal customers.
• Closely collaborating with diverse design teams, including Custom Digital, Analog, Mixed-Signal, and more, to understand their needs and requirements for various ML and large language model applications. Applying advanced techniques to address these requirements across multiple products and reduce duplicate design work.
• Working in tandem with other experts in CAD to validate their ML-based applications, implement enhancements, and evaluate external vendor packages and solutions from EDA (Electronic Design Automation) providers and open-source.

Minimum Qualifications

BS in Computer Science or related field and 10+ years of relevant industry experience

Preferred Qualifications

Experience in developing object-oriented programs, utilizing data structures, and writing algorithms. Python is preferred. Perl is useful.

Experience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications

Experience with transistor-level electrical engineering and related software tools for circuit analysis, such as simulation, timing, EM/IR, layout, extraction, or power analysis

Day-to-day experience working with the UNIX shell environment and code revision control systems

Experience leading industry electrical engineering-focused software development projects

Experience in electrical engineering machine learning applications

Experience with large language models, including fine-tuning, retrieval augmented generation, and prompt engineering

Experience with server management, and parallel computing platforms such as LSF, NC, AWS, etc.

Experience creating web technologies using React, REST APIs, and equivalent

Excellent communication and presentation skills

Experience in development of large scale software systems in multi-user, multi-site environments

Ability to drive a software development team to develop novel and complex applications