AI / ML System Performance Architect - Datacenter

AI / ML System Performance Architect - Datacenter

San Francisco Bay Area, California, United States

Imagine what you could do here. At Apple, new ideas have a way of becoming products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple! Do you want to impact billions of users by developing an extraordinary product with a prime focus on accuracy, understandability, and performance of the product? Dynamic, inspiring people and innovative technologies are the norm here. The System Performance Architecture team is responsible for all aspects of performance spanning hardware (CPU, GPU, DRAM, storage), software (OS, drivers, applications), and other system characteristics (thermals, power, acoustics). This spans performance modeling, guiding architecture tradeoffs, performance verification, performance debug, and workload characterization. Our team is collaborative, creative and passionate about what we do and the value we add in future product designs. Come join us!

Description

We are seeking an outstanding Data Center performance architect to contribute to the design and optimization of computer architectures specifically for Machine Learning and Artificial Intelligence applications. This position is a multi-disciplinary and multi-functional engineering role encompassing all aspects of computer system design with a focus on performance simulation. The candidate will need the skills and experience to create complex system architectures, surprise and delight our customers, and advance our products performance, size, power, thermal and cost goals.

Responsibilities

We are looking for a unique individual capable of taking a technical role including but not limited to the following :

• Interacting with various multi-functional teams to understand, model, and guide developments and trade offs
• Defining and guiding new modeling approaches and features to improve influence in performance related decisions
• Distilling key system interactions and abstracting them into high level performance models
• Guiding modeling validation and accuracy to continually improve current methods and approaches
• Generating performance projections for future systems
• Assisting with complex performance debug activities

Minimum Qualifications

At least 5 years of industry experience

Knowledge and experience in computer architecture and systems

Experience in performance modeling and simulation

Experience in software development using C++ and Python

Preferred Qualifications

Machine Learning experience is desired

Expertise in software development is preferred

Strong coding skills

Prior experience with data center and large-scale cluster systems is desired

Prior experience in analyzing software / OS behavior and performance / power management

Strong communication skills

Pay & Benefits

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 $147,400 and $272,100, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.