Machine Learning Compiler Engineer
Qualcomm
At a glance
AI generatedJoin Qualcomm Technologies' Compiler Labs unit as an ML Compiler Engineer where you will advance cutting-edge machine learning accelerators by applying mathematics and programming languages theory to optimize compilers. This role involves improving existing ML compilers, developing new ones, and innovating optimization algorithms for mapping ML algorithms to various hardware targets like the Neural Signal Processor, Adreno GPUs, and CPUs. You’ll work with technologies such as MLIR, Pytorch 2.0, TVM, Triton, and LLVM, requiring expertise in compiler development, computer architecture, and software engineering. Ideal candidates have a master's degree in Computer Science or related fields, experience with polyhedral optimization, loop transformation, and GPU programming, and strong communication skills to contribute to research publications and industry forums.
Skills
What you'll do
What we're looking for
Market check
This $200,800–$301,200 range sits above 83% of similar postings on FindRole.
Peer median band
$155,420–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$174,218–$235,750
Middle half of comparable postings.
Based on 239 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has 569 open roles on FindRole.
Listed pay typically runs $148,300–$224,400 across 536 roles with salary data.
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