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 and developing innovative new ones, focusing on powerful program representations and advanced optimization algorithms. You’ll work with technologies like MLIR, Pytorch 2.0, TVM, Triton, and LLVM, while also contributing to open-source projects and representing the company at industry forums. Ideal candidates have a master's degree in computer science or related fields, experience in compiler development, and expertise in areas such as polyhedral optimization, GPU programming, and high-performance computing. This position offers substantial technical responsibility and mentoring opportunities for entry-level engineers, making it an excellent fit for those passionate about impactful software engineering in the AI domain.
Skills
What you'll do
What we're looking for
Market check
This $160,500–$240,700 range sits above 53% of similar postings on FindRole.
Peer median band
$155,700–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$174,693–$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 595 open roles on FindRole.
Listed pay typically runs $148,300–$222,500 across 540 roles with salary data.
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