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Apple GPU Performance Modeling Engineer United States, California, San Diego 363079
21.12.2024
Description
As a GPU performance modeling engineer, you will be responsible for developing cycle-approximate perf C/C++ models in close collaboration with architects and designers. Additionally, you will analyze performance results and help propose architectural and micro-architectural changes. You will be critical in supporting the hardware team during model and design performance bring-up.
Minimum Qualifications
- We are looking for candidates with a BS and a minimum of 10 years relevant industry experience.
- Background in GPU, CPU, or SIMD architectures.
- Excellent C/C++ programming skills.
- Experience in hardware performance modeling, analysis, and debug.
- Ability to work well in a team in order to be productive under aggressive product schedules.
- We believe that there is power in teams working together so you must have strong communication, influence, and negotiation skills.
Preferred Qualifications
- Experience writing performance models for GPU Schedulers, Execution Units, Texture/Pixel Units, or Caches.
- Experience with GPU APIs, OpenGL, OpenCL, DirectX, Metal.
- Expertise in one or more focused CPU/GPU areas. Areas could include core/shader micro-architecture, texture pipeline, caching, or memory subsystem design.
- Experience with scripting, Verilog/VHDL, design verification methodology and tools a plus.
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 $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.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.
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