In this role you will be responsible for power analysis & optimisation of Apples GPU products. You will estimate the power impact of proposed features advise on possible improvements and set power targets. You will work with architecture team to improve energy efficiency of next generation will simulate the consumption of existing components of the GPU with various workloads. You will analyse the data to look for opportunities to improve the energy efficiency of new features and existing logic and work with the micro-architecture design and implementation teams to make improvements throughout the development will be reviewing architectural and micro-architecture specifications to estimate their power impact on the GPU. You will be working with RTL and gate level simulations emulation and power analysis tools to generate data analysing that data using scripts power models spreadsheets and machine learning. You will summarise and present your conclusions and recommendations to the will share low power best-practices and design principles among the different project stake holders and drive the development of new tools and methodologies to aid in the efficient measurement communication and improvement of GPU energy efficiency.
Solid experience with low power RTL design & optimisation of complex digital systems
Excellent understanding of power consumption and estimation of digital designs and low power design techniques
Self motivated & independent worker
Proficiency in scripting languages such as Tcl Python or similar
Experience with power estimation tools such as Primetime-PX Power Artist or Power Pro
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