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Server ML Frameworks Engineer

Apple· Software and Services
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Cupertino, CA$184.7k - $324.8kFull-timePosted 3d ago

About the role

Senior technical leader on Apple's Server ML Frameworks team responsible for setting technical direction and architecture for scalable, production-grade server ML frameworks optimized for high-throughput GPU execution, in collaboration with software and hardware teams to define roadmaps for Apple Intelligence in Private Cloud Compute.

Responsibilities

  • Adding optimized GPU compute kernels across Machine Learning, Image Processing, Linear Algebra and Computer Vision.
  • Defining and implementing APIs in Metal Performance Shaders.
  • Performing in-depth analysis, compiler and kernel level optimizations to ensure the best possible performance across hardware families.
  • Partnering with Platform Architecture teams to define Apple GPU's compute hardware roadmap. Working with hardware team to analyze performance on future silicon
  • Tune GPU-accelerated compute across products.

Qualifications

  • BS/MS/PhD in Computer Science or a related field, or equivalent practical experience
  • 3–5 years of experience as a manager or technical leader
  • Experience with GPU kernel development and optimization using compute programming models such as Metal, CUDA, or similar
  • Experience with distributed training or inference techniques
  • Strong system-level programming skills in C/C++, with a solid understanding of operating systems and computer architecture
  • Track record in strategic leadership and decision-making
  • Familiarity with Apple framework and API design patterns
  • Experience with graph compilers such as CuTE, CuTile, Triton, OpenXLA or LLVM is a plus
  • Good understanding of LLM and Diffusion based model architectures

Skills

Required:GPU kernel developmentMetal Performance Shaders APIsC/C++ system programmingDistributed training/inference
Nice to have:GPU hardware/architecture collaboration

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • discretionary bonuses or commission payments possibly
  • relocation assistance
  • participation in employee stock programs (RSU, ESOP)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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