SummaryPosted: Oct 16, 2024Role Number:200573875Interested 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.DescriptionDescriptionIn 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 QualificationsMinimum QualificationsExperience in developing object-oriented programs, utilizing data structures, and writing algorithmsKnowledge of basic machine learning techniquesDay-to-day experience working with the UNIX shell environment and code revision control systemsKnowledge of basic electrical engineering topicsExperience leading academic software development projectsExperience in one of the following: internship, research position, or industry experienceMinimum requirement of BSKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsProficiency in machine learning algorithms, large language models, fine-tuning, retrieval augmented generation, and prompt engineeringKnowledge of transistor-level electrical engineering and related software tools for circuit analysis, such as simulation, timing, EM/IR, layout, extraction, or power analysisExperience in electrical engineering machine learning applicationsExposure to server management, or parallel computing platforms such as LSF, NC, AWS, etc.Experience creating web technologies using React, REST APIs, or equivalentStrong communication and presentation skillsCommitment to excellence and productivityExperience in developing large scale software systems in multi-user, multi-site environments as part of a team of developers.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $121,900 and $183,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
More

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.