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.

Minimum Qualifications

Experience in Python programming
Experience in programming algorithms
Minimum requirement of BS and 10+ years of relevant industry experience.

Preferred Qualifications

Experience in writing machine learning algorithms, implementing natural language processing (NLP), or using large language models in industry applications
Experience in object-oriented programming, data structures, algorithms, and machine learning
Knowledge of 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 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
Commitment to excellence and productivity
Experience in development of large scale software systems in multi-user, multi-site environments
Ability to drive small software development team to develop novel and complex applications

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.

CAD Automation and ML Engineer

Apple

Summary

Minimum Qualifications

Preferred Qualifications

Description

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