Machine Learning Compiler Engineer

Our approach emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges, and using advanced mathematics and algorithms for performing optimizations. We are also solid in using “old school” compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are keen about seeing our compilers used and having large impact on Qualcomm’s business.

Experience with compiler development and computer architecture

ML experience

A degree in the field of computer science or applied mathematics

Experience with software engineering

Solid intellectual ability, motivation, and a strong history of achievement

Excellent oral and written communication skills

Experience with MLIR, MLIR dialects (LinAlg, Affine), PyTorch 2.0, TVM, Triton, and/or LLVM

Experience incorporating generative AI into compiler development workflow (AI-assisted code generation, AI-assisted analysis, AI-assisted refactoring and review)

Experience designing or extending DSLs as targets for AI-driven program synthesis

ML applications and ML optimization experience

ML architecture experience

High-performance computing experience, including communication-avoiding algorithms

Polyhedral compiler optimization experience

Loop transformation and vectorization experience

GPU programming, parallel programming experience

General optimization experience

Minimum Qualifications:

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