Intel
Compiler Engineer for AI DSLs
$129K–$182K
US, California, Santa Clara +3 · Full-time · Posted Oct 30, 2026
- Location
- US, California, Santa Clara
US, Massachusetts, Beaver Brook
US, Oregon, Hillsboro
US, Texas, Austin - Experience
- 2+ years in each of the areas specified in the minimum qualifications; requirements may be met through a combination of industry experience, internships, and schoolwork/classes/research.
- Education
- Bachelor's degree in Computer Science, Applied Mathematics, Electronic Engineering, Informatics, or a closely related technical discipline.
- Visa sponsorship
- Not eligible for Intel immigration sponsorship.
About the job
Develop and optimize compiler tools for Intel CPUs, GPUs, and accelerators, supporting AI, high-performance computing, and other applications.
What you'll do
- Develop compiler features and performance optimizations for Intel architectures; analyze applications and benchmarks to identify improvements.
- Collaborate with hardware, validation, and cross-geo teams to integrate processor features and meet quality and performance standards.
- Maintain compiler frameworks, debug and resolve defects, and contribute to open-source compiler projects.
What they ask for
- Bachelor's degree in Computer Science, Applied Mathematics, Electronic Engineering, Informatics, or a closely related technical discipline.
- 2+ years of experience with C/C++, SYCL, CUDA, DSLs programming, object-oriented design principles, and complex data structures.
- 2+ years of experience with compiler technologies and LLVM compiler infrastructure.
Nice to have
- 2+ years of experience developing and maintaining production-grade compilers.
- Familiarity with LLVM framework components, vectorization, parallel programming models, GPU compiler optimizations, processor architectures, performance and memory optimizations, standards development, MLIR, or TileIR.
Pay
$128,880.00-181,940.00 USD (target compensation range; pay type not specified)
Tools
C/C++, SYCL, CUDA, LLVM, Clang, Fortran, OpenMP, MLIR
AI focus
Compiler infrastructure and DSL programming languages in AI domains; compiler tools also target AI workloads.
Model-written summary · the original posting is authoritative