GPU Performance Engineer, Platform Architecture

Imagine what you could do here! At Apple, new ideas have a way of becoming

extraordinary products, services, and customer experiences very quickly. Bring

passion and dedication to your job and there's no telling what you could

accomplish. Dynamic, hard-working people and inspiring, innovative technologies

are the norm here. The people who work here have reinvented entire industries

with all Apple Hardware products. Join us to help deliver the next

groundbreaking Apple product! We are seeking a highly motivated, innovative, and

dedicated engineer to join the Platform Architecture GPU Modeling Team; we are a

group that is driving advanced exploration for next generation GPU architectures

in iPhone, iPad and Mac products. We rely on strong analytical skills and close

collaboration to deliver the best overall solution to our customers. In this

highly visible role, you will be at the center of a chip design effort working

with all disciplines, with a critical impact on getting highly performant

products to millions of customers quickly. This is an opportunity to join

Apple’s world-class GPU team to collaborate, develop and improve GPU simulators

for research, performance analysis, and architectural tuning.

DESCRIPTION

As part of the Platform Architecture GPU Modeling team, you will be working with

architecture, design and software partners on the definition and tuning of

Apple’s future GPU architectures. The role involves the creation and maintenance

of a high-performance C++ model of our next-generation GPUs. Core

responsibilities include coding and debugging a performance and functional model

of the GPU; implementing modern hardware features such as machine learning for

AI, ray tracing, mesh shading, and more. Other responsibilities include working

with the team to ensure model accuracy, feature validation and correlating

against other models and RTL. You’ll develop and utilize diverse tools for

analyzing the substantial amount of data generated by the models. The team is in

a highly collaborative work environment, and you’ll be working with experienced

architects, modeling engineers, compiler engineers, and software teams to assess

the feasibility of new hardware and software features, running performance

experiments, analyzing results, and proposing architectural changes.

MINIMUM QUALIFICATIONS

Bachelor’s degree Experience writing and debugging C++ code Experience with

scripting languages such as Python or Ruby

PREFERRED QUALIFICATIONS

10+ years of experience modeling GPUs, CPUs, or similar MS or PhD degree in

related field Experience coding components such as processing cores, texturing

units, caches, memory hierarchies, etc. Understanding of GPU/CPU architectures

Experience debugging performance issues and correlating multiple models

Understanding of data analysis tools such as: Tableau, pandas, Excel,

matplotlib, etc. Experience working with cutting edge machine learning and/or

graphics applications/games/benchmarks Troubleshooting skills