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.
In this highly visible role, your primary responsibilities will include:
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
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
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
BS in Computer Science or related field and 3+ years of relevant industry experience
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
