Performance and Modeling Engineer

Summary

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Minimum Qualifications

Master’s degree or foreign equivalent in Engineering or related field and 6 months of experience in the job offered or related occupation. Experience and/or education must include: Utilizing C or C++ and CPU or GPU architecture to write high-level functional models Using Graphics modeling and implementation of GPU architecture and features to validate performance or functionality of new features Leveraging CPU modeling and implementation of CPU pipeline and cache systems to validate high-level functional CPU or GPU models Utilizing scripting languages like Python or Perl to optimize testing and infrastructure environments Building, testing, implementing and analyzing new features in a GPU model Experience in data visualization, including creating charts to demonstrate trends in functionality and/or performance, and experience presenting data Applying C, C++, or systemC to create or improve model output in the form of logging data files

Preferred Qualifications

N/A

Description

APPLE INC has the following available in Austin, Texas. Model GPU architectural functionality to a pixel-accurate level using C++ for feature validation and performance studies; Collaborate with cross-functional teams across sites to define GPU feature coverage, validation strategies, and execution plans; Develop and maintain GPU software testing and regression infrastructure using Python and Kotlin; Triage of model and simulation regressions; Analyze logs and traces to root-cause architectural, functional, or test environment failures; Enhance model infrastructure, including writing or enhancing debugging tools, logging systems, and other utilities to improve validation efficiency; Write and maintain testbenches and validation scenarios for new GPU architectural features; Review architecture specifications and provide feedback from a validation perspective; Contribute to automated workflows and Cl systems to streamline regression testing and improve validation throughput; and Participate in weekly syncs with design, software, and performance teams to align validation priorities and resolve cross-domain issue. 40 hours/week.