GPU Software Optimization Engineer, Platform Architecture
Location
Cupertino, CA | United States
Job description
Come join a world class group in Platform Architecture focused on low level software performance optimization.
We are seeking a highly motivated, innovative, and dedicated engineer to join the Platform Architecture Software Performance Optimization Team. We are a group that is driving performance improvements in software running on Apple silicon as well as Apple software and hardware itself. Join us!
Key Qualifications
- Expert background in software engineering, tools, methods, and the performance optimization process;
- Strong knowledge and experience in GPU/CPU/SoC architecture and micro-architecture, or performance analysis with an emphasis on hardware/software co-design and the intersection between software and hardware;
- Strong software development skills and proficiency in some of C/C++ family programming languages, and scripting languages such as Python;
- Knowledge and experience with GPU performance benchmarks and workloads;
- Knowledge of low-level graphics APIs, GPU software stacks, operating system internals, and compiler technology a plus;
- Strong interpersonal skills and creativity to help the team solve performance challenges
Description
In this role you will work on the analysis of existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues you will address performance limitations and deliver recommendations for Apple hardware and software improvements.
In addition to working with developers directly, you’ll identify patterns of performance challenges on Apple silicon, emerging new usage models, and feed back findings into the silicon and software teams for potential improvements.
Education & Experience
BS and a minimum 10 years relevant work experience. Degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related fields 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 $170,700.00 and $300,200.00, 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.
In this role you will work on the analysis of existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues you will address performance limitations and deliver recommendations for Apple hardware and software improvements.
In addition to working with developers directly, you’ll identify patterns of performance challenges on Apple silicon, emerging new usage models, and feed back findings into the silicon and software teams for potential improvements. BS and a minimum 10 years relevant work experience. Degree in Computer Science, Computer Engineering, Electrical Engineering, or closely related fields preferred.
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