An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Apple in Cupertino, CA is seeking a smart, self-driven Power Control Systems Architect to lead the development of next-generation power control systems across devices. You will design architectures that extend battery life while meeting power and thermal constraints, collaborating with systems and software teams.
The role invites applying advanced control theory, data-driven approaches, and real-time constraints handling to optimize power allocation and performance across multiple timescales.
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! 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 dedication to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product! We are looking for a smart, self-driven engineer who loves to test their skills against new and diverse challenges. We have a role that will push you to do your best, to be your most creative and to invent new technology that affects billions of users. This is your opportunity to join the elite team responsible for crafting
We are seeking a Power Control Systems Architect to lead the development of next-generation power control systems. You will be responsible for designing and evolving the power control architecture deployed across Apple products to extend battery life and improve user experience while meeting device power and thermal constraints across multiple timescales. This work involves collecting and analyzing performance/power data from real-world workloads, applying advanced control theory and estimation techniques to multi-timescale constraint problems, exploring data-driven and predictive approaches to power allocation, cooperating with systems and software teams to characterize and analyze power/performance profiles, and evaluating power control algorithms based on the resulting insights.