GPU Compiler Engineer – Front-End & ML/Graphics Optimizations

Apple, Inc.

Cupertino (CA)

In loco

USD 190.000 - 230.000

Tempo pieno

11 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Apple, Inc. in Cupertino seeks a compiler engineer to analyze, design, and build new language constructs for GPU-focused front-end and middle-end optimizations. You will work to harness the GPU across iPhone, iPad, Apple TV, Apple Watch, and Mac products.

You will partner with a world-class team to integrate compilers into the developer platform, maximizing ML, compute, and graphics performance on Apple Silicon across platforms.

Competenze

  • Minimum: Technical BS/MS degree in Computer Science, Computer Engineering, or equivalent.
  • Deep understanding of compiler spanning semantic analysis, type systems, and optimization algorithms.
  • Strong foundation in computer architecture, memory hierarchy, and modern processors.
  • Excellent skills in software design, problem solving, debugging, and performance analysis.

Mansioni

  • Analyze, design, and build new language constructs in the front-end and middle-end optimizations for GPU computing.
  • Collaborate with cross-functional teams to integrate compilers into the developer platform and maximize ML/compute/graphics performance.
  • Work on architecture exploration and develop high-quality static and JIT optimizations for applications from games to ML to image processing.

Conoscenze

Compiler development
Systems programming
Performance analysis
Problem solving

Formazione

Bachelor's degree
Master's degree

Descrizione del lavoro

Apple, Inc. in Cupertino seeks a compiler engineer to analyze, design, and build new language constructs for GPU-focused front-end and middle-end optimizations. You will work to harness the GPU across iPhone, iPad, Apple TV, Apple Watch, and Mac products.

You will partner with a world-class team to integrate compilers into the developer platform, maximizing ML, compute, and graphics performance on Apple Silicon across platforms.

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