Research And Pathfinding Internship: Ai Workload Compiler Optimization For Cpu And Gpu

Intel Corporation

Gdansk, Poland
Hybrid
Compiler internals or programming languages
Mlir/llvm framework integration
Cpu and gpu architecture knowledge
Join Intel's Datacenter and AI Software Pathfinding team to advance compiler infrastructure for heterogeneous AI workloads

Job Summary

  • Join Intel's Datacenter and AI Software Pathfinding team to advance compiler infrastructure for heterogeneous AI workloads.
  • Develop novel optimization techniques for AI kernel compilation targeting both CPU and GPU architectures from a unified representation.
  • Gain deep knowledge of Intel CPU features (AMX, AVX-512) and GPU architectures while contributing to cutting-edge applied research.

Matching Summary

Join Intel's Datacenter and AI Software Pathfinding team to advance compiler infrastructure for heterogeneous AI workloads.

Skills & Requirements

Must-have

  • Compiler internals or programming languages
  • MLIR/LLVM framework integration
  • CPU and GPU architecture knowledge
  • Python and C++ programming skills

Nice-to-have

  • Algebraic rewrite systems and e-graphs
  • Autotuning and cost modeling experience
  • Tensor compiler frameworks familiarity
  • Intel architecture optimization experience

Key Requirements

  • Bachelor, Master or PhD student in Computer Science or related field
  • Experience with compiler internals or programming languages
  • Programming skills in Python and C++
  • Familiarity with CPU architecture

Work Rights

Not specified

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