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GPU Engineer, Platform Architecture
Cupertino, CA
Job Description
Summary
Posted: May 2, 2024
Role Number:200550054
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 Linear Algebra and Machine Learning software, HW and algorithms.
Key Qualifications
Description
As part of the team, a successful candidate will: - Assist in hardware performance analysis, linear algebra and machine learning algorithm research, and optimization - Contribute to development of modeling tools and infrastructure necessary to do exploratory design and performance studies - Drive implementation of new machine learning techniques to improve user experiences across a wide range of products and applications - Be responsible for tracking upcoming trends in machine learning hardware and software across a wide range of application types, and assisting in driving product development directions
Education & Experience
BS and a minimum of 3 years relevant experience. MS or PhD in Computer Science, Electrical Engineering, or equivalent is preferred.
Additional Requirements
Pay & Benefits
Posted: May 2, 2024
Role Number:200550054
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 Linear Algebra and Machine Learning software, HW and algorithms.
Key Qualifications
- Experience in design or architecture of acceleration hardware for linear algebra
- Experience in writing shader code (GLSL / HLSL / OpenCL / CUDA) desired
- Strong experience with software architecture and development desired
- Experience with distributed algorithms for HPC desired
Description
As part of the team, a successful candidate will: - Assist in hardware performance analysis, linear algebra and machine learning algorithm research, and optimization - Contribute to development of modeling tools and infrastructure necessary to do exploratory design and performance studies - Drive implementation of new machine learning techniques to improve user experiences across a wide range of products and applications - Be responsible for tracking upcoming trends in machine learning hardware and software across a wide range of application types, and assisting in driving product development directions
Education & Experience
BS and a minimum of 3 years relevant experience. MS or PhD in Computer Science, Electrical Engineering, or equivalent is preferred.
Additional Requirements
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 $138,900.00 and $256,500.00, 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.
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Doctorate
Required Experience
3+ years
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