Graphics (GPU) Performance Analysis Engineer Apple
Austin, TX

Job Description

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 and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. In this role, team members will be responsible for performance analysis, tuning, and debug of Apple's GPU products. As part of the Performance Analysis team, you will collaborate closely with other GPU Design and Software Engineers to study, debug and improve the performance of Apple's mobile GPUs.

We would like you to have 5+ years of industry experience developing GPU content 3D graphics architecture knowledge is viewed positively in this role OpenGL/CL and/or Metal API programming experience Experience with assembly level coding and compiler code optimization techniques Experience and familiarity with systems software, operating systems, as well as intuition for user level application interactions 3+ years of Python programming experience Strong software debug skills is viewed as necessary for this role Ability to work well in a team and be productive under aggressive schedules Excellent communications skills, self-motivated and well organized

As a GPU Performance Analysis Engineer, your responsibilities will include the following: Developing performance test plan to validate GPU performance Developing GPU content to measure GPU performance Debugging performance issues to identify software problems Working with driver, compiler and app engineers to improve GPU performance Developing tools to aid in the efficient measurement, communication and improvement of GPU performance Validating the functionality and quantify the performance benefit of the features and algorithms implemented in hardware and software Conducting directed studies and help provide solutions to performance challenges unique to mobile GPUs that are aimed at driving the architecture of next generation mobile products via measurements, simulations, benchmarking, or competitive analysis

BS or MS in EE/CS/ECS