Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

As an intern you will be writing software to improve the level of verification on the latest Apple hardware products, leveraging both traditional automation and emerging AI/ML technologies. We want to hear about new insights, so we can improve and speed up our development using the intelligent automation you create. You will be building on existing frameworks and state of the art EDA tools, integrating AI and machine learning approaches to develop next-generation verification flows. We welcome candidates with AI/ML experience as well as those passionate about learning these technologies and applying them to real-world hardware challenges. An experienced team is there to help and guide you through both traditional verification methodologies and modern AI-driven approaches.