CPU Performance & Workload Analysis Architect, Platform Architecture
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 7, 2026. Apple scores A on the Alion truth index.
Modern system-on-chip (SoC) designs have dramatically changed how hardware and software is developed. It is increasingly important to understand the concerns of software developers when designing hardware while it is also increasingly meaningful for software developers to understand how their applications can map efficiently to modern client and server hardware. Those who can understand both and prefer to live at the intersection of hardware and software are deeply valuable, especially to Apple. The Apple CPU Architecture and Performance Team is seeking highly motivated and self-driven engineers who want to live at this intersection, individuals who have or want to develop domain expertise in emerging areas like AI, individuals who have a high-level CPU architecture understanding and desire to work with a world class team for CPU, SoC, and software development. Are you deeply accountable for your work? Your passion for product ownership and track record of product development will prove critical to your success on our team.
Description
We drive advanced exploration for next generation CPU architectures. As a member of this team, you are the interface between the CPU team, system teams, and many software teams at Apple. We have a data driven approach that is focused on real user workloads (both existing and emerging) so your work will guide optimizations and the direction of future CPUs. At the same time, you will be working with software developers to optimize code for our CPU designs and roadmap.
Minimum Qualifications
Bachelor’s degree
Experience with CPU architecture and micro-architecture
Object-oriented programming experience with C and C++
Experience in scripting languages such as Perl, Python, or Javascript
Experience with CPU performance analysis and associated tools
Experience with common performance benchmarks
Preferred Qualifications
MS or PhD in Electrical or Computer Engineering, or related field
20+ years of relevant experience
Experience working multi-functionally with people of very diverse backgrounds
Demonstrated communication, influence, and negotiation skills
Technical documentation skills
Knowledge of visual/UI, data analysis frameworks and modern AI tools
Knowledge of OS internals and compiler technology