GPU Power Efficiency Engineer

Do you love creating elegant solutions to highly complex challenges As part of our Silicon Technologies group youll help design and manufacture our next-generation high-performance power-efficient processor system-on-chip (SoC)! Youll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means youll be responsible for crafting and building the technology that fuels Apples devices. Join us to help deliver the next groundbreaking product containing an Apple designed GPU! nnIn this highly impactful role you will be responsible for Efficiency or Performance per watt projections for the GPU from early feature specification stages to Silicon. As a member of the Silicon Technologies GPU team you will work across functions including Architecture Power Performance Silicon Validation Thermals and Technology. The job involves analyzing and influencing key factors effecting Performance and Power of the GPU and improving on methodologies to align the model to Silicon.

- Responsible to generate and analyze GPU Efficiency Projections Performance versus Power for each generation of GPU over the full cycle of the project from Concept to Silicon.n- Drive the methodology of generating projections and Efficiency curves to improve accuracy and quality.n- Collaborate with architecture team to set power targets and determine the impact of features on efficiency.n- Work with Performance and Power teams to gather data for the Efficiency curves and analyze the impact.n- Work with the Silicon team to improve projections based on Silicon data.

BS Minimum of 3 years experience in the semiconductor industrynExperience with power or silicon technology or performancenExperience in Python VBA or other coding languages

Ability to work across teamsnExperience with Data Analysis and ExcelnExperience in Power Projections or Performance AnalysisnExperience with GPU workloads is a plusnStrong communication skillsnDetail oriented and organized