GPU Performance Engineer, Platform Architecture at Apple

San Diego, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

0.0

Posted On

25 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C++, Python, Ruby, GPU Architecture, Performance Modeling, Computer Architecture, Machine Learning, Ray Tracing, Mesh Shading, Data Analysis, Tableau, Pandas, Matplotlib, Debugging, RTL, Hardware Simulation

Industry

Computers and Electronics Manufacturing

Description

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 3+ 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

Responsibilities

You will develop and maintain high-performance C++ models for next-generation GPU architectures while collaborating with cross-functional teams to define and tune hardware features. Responsibilities include implementing modern features like AI and ray tracing, validating model accuracy, and analyzing performance data to drive architectural decisions.