Machine Learning Compiler Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYAustin, TXSan Diego, CARaleigh, NC
Salary
$200,800–$301,200 / yr
Posted
102 days ago
Freshness
Confirmed live yesterday
Closes
Nov 28, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $251k
$155k most similar roles pay here $317k

This role pays more than 74% of similar roles. Most pay $185,243–$254,750 — the shaded band above. At the midpoint, this role pays about $251k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Compiler Engineer

The Machine Learning Compiler Engineer joins the Compiler Labs unit within the AI Software department to develop and improve innovative machine learning compilers. This role involves mapping complex machine learning algorithms to various hardware accelerators, including the Hexagon Neural Signal Processor, Adreno GPUs, and low-power units. Day-to-day responsibilities include optimizing compiler capabilities through benchmark analysis, innovating new optimization algorithms, incorporating generative AI into development workflows, and upstreaming algorithms to open-source projects like LLVM and MLIR. The work focuses on solving challenges in polyhedral optimization for generative AI, communication-avoiding algorithms from high-performance computing, and correctness verification for quantized neural operators. Required skills include expertise in compiler development, computer architecture, and machine learning. Preferred technical proficiencies include MLIR dialects, PyTorch 2.0, TVM, Triton, LLVM, loop transformation, vectorization, and GPU programming.

What you'll do

  • Develop and improve ML compiler optimization capabilities through benchmark analysis and profiling.
  • Innovate new machine learning compiler technologies and optimization algorithms.
  • Integrate generative AI into the compiler development workflow and within the compilers themselves.
  • Upstream compiler algorithms to open-source projects like LLVM and MLIR.
  • Author research publications and represent the company at industry conferences and forums.
  • Lead and manage technical projects for senior-level roles.

What we're looking for

  • A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • A Master's degree in Computer Science, Engineering, Information Systems, or a related field.
  • A PhD in Computer Science, Engineering, Information Systems, or a related field.
  • 8+ years of experience in Hardware, Software, or Systems Engineering with a Bachelor's degree.
  • 7+ years of experience in Hardware, Software, or Systems Engineering with a Master's degree.
  • 6+ years of experience in Hardware, Software, or Systems Engineering with a PhD.
  • Experience in compiler development, computer architecture, and machine learning.
  • Proficiency in software engineering, advanced mathematics, and high-performance computing algorithms.

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