Summary

We are looking for an experienced Media-IP SoC Performance Architect to join our dynamic team. We are responsible for the performance models of several of the complex multi-media IPs in Apple’s SoCs! These IPs are central to the customer experience in almost all of Apple’s products from Apple Watch, iPhone, iPad, MacBook, and next generation product lines. In this highly visible role, you will collaborate closely with multi-functional teams to develop, verify, and use performance models for data driven architectural exploration and validation.

Key Qualifications

The ideal candidate will have 5+ years of relevant industry experience:

Strong understanding of SoC, fabric, and memory system architectures

Strong software development and organizational skills with modular object-oriented SW architectures in C++,

Knowledge in the latest STL libraries, and Python, Lua, and shell scripting languages

Experience with performance model development & analysis statistics, and applied ML (machine learning) for analyzing large data sets

Excellent written and verbal communication skills for multi-functional collaboration and presentations

Strong understanding of QoS, arbitration, and queuing theor

Description

As a Media-IP SoC Performance Architect, you will be responsible for spanning all aspects of performance model development: planning model architecture, implementation, validation, performance studies, and RTL correlation!

* Collaborate with system architecture and IP design teams to plan, implement, and validate a high-level performance model in C++.

* Develop, analyze, and communicate results of performance studies for different architectural and micro-architectural proposals from within the team as well as other architecture and design teams.

* Develop custom tools for analyzing simulation results of these complex architectures to provide new insights into their behavior and propose innovative architectural changes to improve the performance.

* Validating the performance model against the specification and correlating the model with RTL.

Education & Experience

B.Sc. / M.Sc. is required

Role Number: 200174491