GPU Engineer, Platform Architecture
Cupertino, California, United States
Apple
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways.Summary
Posted: Nov 7, 2024Role Number:200577913
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, inquisitive people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it! The Platform Architecture GPU group is looking for a talented GPU Engineer with strong skills in performance analysis and development, across applications and operating system components.
Description
As part of the team, a successful candidate will: - Analyze the performance of linear algebra and machine learning algorithms on Apple GPU platforms, pursuing investigations wherever they take you in Apple software - With our partner teams in Software Engineering and Hardware Technologies, formulate system-level strategies to address performance problems and unlock the next level of AI performance for our users - Help build the prototype software implementation, for simulated future hardware, then communicate what we learned to teams building production software for products
Minimum Qualifications
- BS degree
- Experience with software and hardware performance analysis and optimization
- Experience in GPU programming models such as Metal, CUDA, or similar
Preferred Qualifications
- MS or PhD in Computer Science, Electrical Engineering, or equivalent
- 7 years of relevant industry experience
- Experience with the internals of GPU drivers, compilers and/or accelerated libraries
- Experience working specifically in CUDA C++ on ML and/or linear algebra algorithms
- Experience with distributed algorithms for HPC (for example, supercomputing)
- Experience communicating across both hardware and software organizations
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 $175,800 and $264,200, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Learn more about your EEO rights as an applicant.
Tags: Architecture Computer Science CUDA Engineering GPU HPC Linear algebra Machine Learning PhD
Perks/benefits: Career development Equity / stock options Health care Medical leave Relocation support
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