Tile AI DSL Compiler Engineer - Hybrid

Intel Corporation

Santa Clara (CA)

Hybrid

USD 150,000 - 285,000

Full time

5 days ago
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Benefits offered by this job

Competitive pay
Stock bonuses
Health insurance
Retirement benefits
Vacation

Job summary

Intel Corporation seeks a Compiler Engineer to develop, optimize, and maintain compiler tools for Intel CPU and GPU platforms. The role emphasizes feature development, performance tuning, and rigorous testing to deliver high-quality code across multiple architectures.

The candidate will collaborate globally with engineering, validation, and performance teams and contribute to open-source efforts, including LLVM, while supporting heterogeneous computing workloads.

Qualifications

  • Bachelor's degree with 4+ years in CS or related field.
  • Master’s degree with 3+ years in CS or related field.
  • PhD in CS, Applied Math, Informatics, or related field with 1+ year experience.
  • Experience in C/C++, SYCL, CUDA, DSLs, OO programming, and production-quality compilers.
  • Proven expertise in compiler architecture and software optimizations for CPU/GPU performance.
  • Experience with troubleshooting and debugging skills.

Responsibilities

  • Develop new features and resolve defects in Intel compilers targeting CPU and GPU architectures.
  • Optimize compiler code generation for performance improvements across diverse applications and benchmarks.
  • Conduct functional, performance, and stress tests on compiler tools to ensure quality and reliability.
  • Collaborate across geographies with engineering, validation, and performance teams to enhance product quality and usability.
  • Contribute to open-source initiatives, including LLVM.

Skills

C/C++
SYCL
CUDA
DSLs
OO programming
Compiler development
Performance optimization
Debugging

Education

Bachelor's degree
Master's degree
PhD

Tools

LLVM
MLIR
TileIR

Job description

Intel Corporation seeks a Compiler Engineer to develop, optimize, and maintain compiler tools for Intel CPU and GPU platforms. The role emphasizes feature development, performance tuning, and rigorous testing to deliver high-quality code across multiple architectures.

The candidate will collaborate globally with engineering, validation, and performance teams and contribute to open-source efforts, including LLVM, while supporting heterogeneous computing workloads.

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