> Markdown version of [/jobs/ext/3983894-soc-qos-fabric-performance-engineer-platform-architecture](https://www.wearedevelopers.com/jobs/ext/3983894-soc-qos-fabric-performance-engineer-platform-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SoC QoS/Fabric Performance Engineer, Platform Architecture - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, Computing Platforms, Augmented Reality, C++ (Programming Language), Data Visualization, Software Debugging, Machine Learning, Software Engineering, Scripting - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/656a96eb-b5f2-426d-a306-e1a281bdb02a ## About the Role In this role, you will be a member of the Platform Architecture team, working with hardware and software engineering groups to shape the architecture of Apple's future System-on-Chips (SoC). We are seeking an energetic and highly motivated SoC performance engineer to drive development of our on-chip communication interconnect and memory Quality-of-Service features., BS degree C++ programming experience Coursework and/or experience in computer architecture and the HW/SW stack Coursework and/or experience with performance modeling and debugging Preferred Qualifications Examples of substantial HW or SW projects brought to completion Coursework and/or practical experience with scripting for automation and data visualization Coursework and/or practical experience with network-on-chip architecture and design Ability to study a problem in depth, design experiments, analyze data, and present results Experience with Cellular/5G modem architecture Communication and documentation skills ## Description You will help create a full-chip C++ simulator for iPhone/iPad/Mac/Watch SoCs. You will model new, emerging workloads such as Augmented Reality (AR) and Machine Learning (ML). You will use these models to study a range of performance and power trade-offs in our SoCs. Your work will be highly visible and critical for driving architecture improvements in Apple's future products.