Performance and Modeling Engineer

What you'll do

• Model GPU architectural functionality to a pixel-accurate level using C++ for feature validation and performance studies.
• Develop and maintain GPU software testing and regression infrastructure using Python and Kotlin.
• Triage model and simulation regressions to identify underlying issues.
• Analyze logs and traces to root-cause architectural, functional, or test environment failures.
• Enhance model infrastructure by writing debugging tools, logging systems, and other utilities.
• Write and maintain testbenches and validation scenarios for new GPU architectural features.
• Contribute to automated workflows and CI systems to streamline regression testing and improve throughput.
• Review architecture specifications to provide feedback from a validation perspective.

What we're looking for

• 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 using C or C++ and CPU or GPU architecture to write high-level functional models.
• Experience using graphics modeling and GPU architecture implementation to validate performance or functionality of new features.
• Experience leveraging CPU modeling and implementation of CPU pipeline and cache systems to validate high-level functional CPU or GPU models.
• Experience utilizing scripting languages like Python or Perl to optimize testing and infrastructure environments.
• Experience building, testing, implementing, and analyzing new features in a GPU model.
• Experience in data visualization, including creating charts to demonstrate trends and presenting data.