Summary

Interested in how Apple designs the world’s most advanced silicon? Want to write software that helps create the next generation of processors and enables the next astonishing Apple innovation? There’s no telling what you could accomplish at Apple! We’re looking for an engineer who will bring passion for hardware and strong programming skills to our team of CAD engineers. You’ll gain hands-on experience in the application of machine learning to circuit design automation and the reuse of custom IP. You’ll develop innovative pipelines to enable design engineers to efficiently drive and interact with their transistor-level analysis workflows, delivering diverse IPs targeted for our many ICs in development. In this role, you will have the opportunity to acquire a broad spectrum of knowledge spanning various disciplines and stages of silicon IP development, including, but not limited to, applications in machine learning (ML) and large language modeling (LLM) technologies and the enablement of reusable IPs. 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 excel in dynamic, collaborative working environments and exhibit a hands-on, enthusiastic, self-motivated approach, with a strong drive to succeed in challenging settings. If you are eager to tackle challenges with innovative solutions, deliver exceptional user experiences, and pay 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 in delivering state of the art processors to the wide range of Apple products.

Minimum Qualifications

Experience in developing object-oriented programs, utilizing data structures, and writing algorithms
Knowledge of basic machine learning techniques
Day-to-day experience working with the UNIX shell environment and code revision control systems
Knowledge of basic electrical engineering topics
Experience leading academic software development projects
Experience in one of the following: internship, research position, or industry experience
Minimum requirement of BS

Preferred Qualifications

Proficiency in machine learning algorithms, large language models, fine-tuning, retrieval augmented generation, and prompt engineering
Knowledge of transistor-level electrical engineering and related software tools for circuit analysis, such as simulation, timing, EM/IR, layout, extraction, or power analysis
Experience in electrical engineering machine learning applications
Exposure to server management, or parallel computing platforms such as LSF, NC, AWS, etc.
Experience creating web technologies using React, REST APIs, or equivalent
Strong communication and presentation skills
Commitment to excellence and productivity
Experience in developing large scale software systems in multi-user, multi-site environments as part of a team of developers.

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.

Custom Automation CAD Engineer

Apple

Summary

Minimum Qualifications

Preferred Qualifications

Description

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