Performance and Modeling Engineer

Apple•Austin, TX

3d•Onsite

About The Position

Apple Inc. has an available Performance and Modeling Engineer position in Austin, Texas. The role models GPU architectural functionality to a pixel-accurate level using C++ for feature validation and performance studies. It works with cross-functional teams across sites to define GPU feature coverage, validation strategies, and execution plans. The engineer develops and maintains GPU software testing and regression infrastructure using Python and Kotlin, investigates model and simulation regressions, and analyzes logs and traces to identify the root causes of architectural, functional, or test-environment failures. The position also enhances model infrastructure and debugging tools, writes and maintains testbenches and validation scenarios for new GPU architectural features, reviews architecture specifications from a validation perspective, contributes to automated workflows and continuous integration systems, and participates in weekly syncs with design, software, and performance teams. The position is 40 hours per week.

Requirements

Master’s degree or foreign equivalent in Engineering or a related field.
At least 6 months of experience in the job offered or a related occupation.
Experience and/or education using C or C++ and CPU or GPU architecture to write high-level functional models.
Experience and/or education in graphics modeling and implementation of GPU architecture and features to validate performance or functionality of new features.
Experience and/or education leveraging CPU modeling and implementation of CPU pipeline and cache systems to validate high-level functional CPU or GPU models.
Experience and/or education using scripting languages such as Python or Perl to optimize testing and infrastructure environments.
Experience and/or education 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 presenting data.
Experience applying C, C++, or SystemC to create or improve model output in the form of logging data files.

Responsibilities

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 model and simulation regressions.
Analyze logs and traces to root-cause architectural, functional, or test-environment failures.
Enhance model infrastructure, including writing or improving 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 continuous integration systems to streamline regression testing and improve validation throughput.
Participate in weekly syncs with design, software, and performance teams to align validation priorities and resolve cross-domain issues.