GPU Performance Engineer, Platform Architecture

Apple • San Diego, CA

11h

About The Position

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.

Requirements

• Bachelor's degree
• Experience writing and debugging C++ code
• Experience with scripting languages such as Python or Ruby

Nice To Haves

• 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

Responsibilities

• Creation and maintenance of a high-performance C++ model of next-generation GPUs.
• Coding and debugging a performance and functional model of the GPU.
• Implementing modern hardware features such as machine learning for AI, ray tracing, and mesh shading.
• Ensuring model accuracy, feature validation, and correlating against other models and RTL.
• Developing and utilizing diverse tools for analyzing substantial amounts of data generated by the models.
• Assessing the feasibility of new hardware and software features.
• Running performance experiments.
• Analyzing results.
• Proposing architectural changes.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees