Sequoia Media-IP SoC Performance Architect, Platform Architecture
Summary
A SoC performance architect on Apple's Platform Architecture team who builds and analyzes performance models for the multimedia IP blocks inside Apple's SoCs, partnering with cross-functional teams to trade off performance, power, and area. Core stack: C++ OOP, with Python/Lua scripting and data analytics.
Do you love crafting elegant solutions to highly complex challenges? Are you a big-picture forward-thinking who understands how each element affects all the others? At Apple, our Architecture group is responsible for connecting our hardware and software into one unified system! Join this team, and you’ll collaborate with engineers across Apple to design how all our technologies work in unison.
We are looking for a Media-IP SoC Performance Architect to join our small, dynamic team at Apple. We own the performance models of several complex multi-media IPs that power Apple's SoCs—technology that's central to the customer experience across nearly every Apple product, from Apple Watch and iPhone to iPad, Mac, Vision Pro (AR/VR), and next-generation product lines.
In this highly visible role, you will collaborate closely with cross-functional teams to help define the architecture of new features and optimize trade-offs between performance, power, and area for these Media-IPs using a variety of sources ranging from performance models to released devices. The end goal is to provide data-driven performance architectural insights that provide the best customer experience.
Minimum Qualifications
- Bachelor’s degree
- Experience with computer architecture and software engineering principles
- Experience in C++ object-oriented software development
Preferred Qualifications
- MS/PhD with 20+ years of relevant industry experience
- Strong understanding of SoC architectures including fabrics, memory systems, QoS, arbitration, and queuing theory
- Experience with performance model development and analysis, including data analytics, statistics, and applied machine learning
- Expertise in C++ including latest STL libraries, with strong skills in modular object-oriented software architectures and design patterns
- Proficiency in Python, Lua, and shell scripting languages
- Demonstrated problem-solving and analytical skills with ability to tackle complex architectural challenges
- Excellent written and verbal communication skills with experience presenting technical results to cross-functional audiences
