
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading technology company is seeking a talented individual to join their Silicon Technologies group in London. The role focuses on power analysis and optimisation of GPU products, ensuring energy efficiency in next-generation designs. Candidates should have solid low power RTL design experience, a strong understanding of digital design power consumption, and the ability to work independently. Proficiency in scripting and knowledge of power estimation tools will be advantageous. Join a team that empowers millions of users with innovative technology.
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail?As part of our Silicon Technologies group, you will help design & manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You will ensure Apple products and services can seamlessly handle the tasks that make them beloved by millions. Joining this group means you’ll be crafting and building the technology that fuels Apple’s devices. Together, we enable our customers to do all the things they love with their devices.
In this role, you will be responsible for power analysis & optimisation of Apple’s 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 GPUs.You 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 process.You 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 team.You 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.