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GPU Performance Engineer, Platform Architecture

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GPU Performance Engineer, Platform Architecture in USA new

  • Cambridge, MA

Responsibilities

  • Create and maintain high-performance C++ functional and performance models of next-generation GPUs.
  • Code and debug GPU models and implement hardware features such as machine learning, ray tracing, and mesh shading.
  • Validate model accuracy and correlate results against other models and RTL.
  • Run performance experiments, analyze model-generated data, and propose architectural changes.
  • Collaborate with GPU architects, modeling engineers, compiler engineers, hardware design teams, and software teams.
  • Develop and use tools to analyze substantial datasets produced by GPU models.

Requirements

  • Bachelor’s degree.
  • Experience writing and debugging C++ code.
  • Experience with scripting languages such as Python or Ruby.
  • Preferred: 10+ years of experience modeling GPUs, CPUs, or similar systems.
  • Preferred: MS or PhD in a related field.
  • Preferred: experience modeling processing cores, texturing units, caches, and memory hierarchies.
  • Preferred: understanding of GPU and CPU architectures.
  • Preferred: experience debugging performance issues and correlating multiple models.
  • Preferred: familiarity with Tableau, pandas, Excel, and matplotlib.
  • Preferred: experience with machine learning, graphics applications, games, or benchmarks.

Apple

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