GPU Benchmark Analysis Architect

At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You’ll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip architecture and develop forward-looking prototype systems and software.

Our team is responsible for improving Apple silicon and Apple products through targeted analysis of GPU workloads and proposing improvements at all aspect of the GPU subsystem.

In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software architecture and implementation. Working with your colleagues, you will address performance limitations and provide recommendations for Apple hardware and software improvements.

In addition to working directly with developers, you will identify patterns of current and emerging workloads, analyze their performance on Apple silicon, Provide feedback to the silicon and software teams for potential improvements., Analyze GPU workloads performance and bottlenecks various devices. Implement and/or suggest improvements to remove the identified bottlenecks.

Build targeted microbenchmarks to help understand strengths and weaknesses of various GPUs and usage patterns.

Guide the development of forward looking GPU workloads to best represent where the industry is headed.

Help improve Apple products by identifying areas of improvements at the GPU architecture and implementation, driver, compiler and API level.

Someone who views performance problems as a challenge, a puzzle to solve

Experience with GPU performance tools

Experience profiling GPU workloads to understand performance issues

System wide understanding of data and command flow: from developer to silicon and the layers in between including high level graphics APIs, driver, firmware, compiler down to the GPU hardware implementation

Ability to prototype and benchmark algorithms on GPU,, analyze performance metrics, and create high-level complexity models

Knowledge of operating system internals and compiler technologies, Technical aptitude and curiosity. Ability to collaborate effectively with team members, partners, and stakeholders, Bachelor’s degree or equivalent job-related experience in Computer Engineering, Computer Science, or a related field

20+ years of work experience in GPU software performance optimization

Knowledge of computer architecture fundamentals

Background in software engineering, performance analysis tools, methods, and the performance optimization process

Experience and proficiency in some of the C/C++ family programming languages, and scripting languages such as Python

Experience and proficiency with all popular high level graphics APIs

Experience in software development for GPUs

Experience with AI, graphics, or other GPU performance benchmarks and workloads

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $216,200 and $394,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits