GPU Performance Architect: Analysis & Optimization

Apple Inc.

Santa Clara (CA)

On-site

USD 180,000 - 280,000

Full time

14 days+
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Job summary

Apple Inc. is seeking a Graphics (GPU) Performance Analysis Architect to join the Silicon Technologies group in Santa Clara, CA.

You will collaborate with architecture, design, and software teams to craft performance test plans, analyze bottlenecks, and propose hardware-software improvements for future GPU architectures. The role requires deep experience in computer architecture and GPU performance analysis, with strong programming skills in Python, C, and C++, and hands-on work with OpenGL/CL

Qualifications

  • Experience in computer architecture.
  • Experience innovating new GPU architecture, hardware or software features to improve performance.
  • Experience in GPU performance analysis.
  • Experience in programming with OpenGL/CL and/or Metal API.
  • Programming skills in Python, C and C++.
  • BS + minimum of 10+ years of relevant experience.

Responsibilities

  • Developing performance test plans to validate GPU performance.
  • Analyzing performance issues to identify hardware and software problems.
  • Proposing novel hardware solutions to improve GPU performance.
  • Developing tools to aid in the efficient measurement, communication and improvement of GPU performance.
  • Validating the functionality and quantifying the performance benefit of the features and algorithms implemented in hardware and software.

Skills

GPU performance analysis
OpenGL/CL
Metal API
Python
C
C++
Computer architecture
GPU architecture

Education

Bachelor's degree

Tools

OpenGL/CL
Metal API

Job description

Apple Inc. is seeking a Graphics (GPU) Performance Analysis Architect to join the Silicon Technologies group in Santa Clara, CA.

You will collaborate with architecture, design, and software teams to craft performance test plans, analyze bottlenecks, and propose hardware-software improvements for future GPU architectures. The role requires deep experience in computer architecture and GPU performance analysis, with strong programming skills in Python, C, and C++, and hands-on work with OpenGL/CL

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