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’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll 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 performance analysis and tuning of Apple’s GPU products. As part of the Performance Analysis team, you will collaborate closely with other GPU Design and Software Engineers to analyse and improve the performance of Apple’s GPUs. GPU performance analysis includes all levels of the GPU stack: architecture, micro-architecture, logic design, compiler, driver, and applications. The team innovates to rapidly develop new ways of analysing data and visualisation techniques to aid in the analysis of performance data. This is a high visibility role with opportunity to influence performance across the GPU and have far reaching impact for the product.

Key Qualifications

• Strong hardware and software debugging skills
• 3D graphics and/or CPU architecture knowledge
• OpenGL/CL and/or Metal API knowledge
• Python/OO/structured programming experience
• Ability to work well in a team and be productive under aggressive schedules
• Excellent communications skills and be self-motivated and well organised

Description

Develop performance test plan to validate GPU performance. Write tests to measure GPU performance. Analyse performance data to identify problems in software and hardware. Work with software and hardware engineers to improve performance. Develop tools to aid in the efficient measurement, communication and improvement of GPU performance. Validate the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software. Conduct directed studies and contribute solutions to performance challenges unique to GPUs that are aimed at driving the architecture of next generation mobile products via measurements, simulations, benchmarking, or competitive analysis.

Education & Experience

BSc/MSc/BEng/PhD in a related field