GPU Physical Design PPA Engineer

**Role Number:** 200646267-0157

**Summary**

Do you love creating elegant solutions to highly complex challenges? As part of our Silicon Engineering group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processors! You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions!

As a member of the GPU Technology and PPA team, you will be responsible for the enablement of the latest technology nodes for all aspects of the implementation flow.

**Description**

You will perform a key role with enablement and bring-up of the latest technology nodes and projecting Performance, Power and Area for the next generation graphics chips. Your responsibilities include:

-Drive multi-functional collaboration with Front-End, Physical Design and STA teams to improve performance, power and area for the next generation GPU designs.
-Identifying and resolving key issues and challenges with respect to technology enablement.
-Work with the Apple custom design teams to analyze and drive standard cell and memory hard-IP offerings and recommend usage/methodology to the graphics FE/PD/STA teams.
-Work with power teams to analyze GPU power and tailor recommendations for power reduction across architecture and gate-level design.
-Analyze Freq/voltage choices and PPA tradeoffs.

**Minimum Qualifications**

+ Experience in TCL, Perl or Python scripting.

+ Experience with industry standard physical design tools.

+ Experience with one or more of the following: PPA optimizations in industry standard physical design, synthesis or STA tools.

+ BS +10 years of relevant experience.

**Preferred Qualifications**

+ Demonstrated ability to deepdive into detailed aspects of tool flows and design in industry standard synthesis, physical design and STA tools.

+ Proficiency in logic design principles, physical design, power and timing concepts.

+ Knowledge of circuit layout and experience with spice tools.

+ Experience with data analysis to draw meaningful conclusions from large amounts of data.

+ Track record of working multi-functionally to drive PPA methodologies.