Machine Learning Compiler Engineer

Qualcomm

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
New York, NYAustin, TXSan Diego, CARaleigh, NC
Salary
$223,600–$335,400 / yr
Posted
40 days ago
Freshness
Confirmed live yesterday
Closes
Mar 16, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $280k
$146k $356k
below market most similar roles pay here above market

This role pays more than 96% of similar roles. Most pay $196,350–$246,150 — the blue band above. At the midpoint, this role pays about $280k versus about $221k 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 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Compiler Engineer

JOB TITLE: 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 ML algorithms to various accelerators, including the Hexagon Neural Signal Processor, Adreno GPUs, and CPU accelerators. Key responsibilities include improving optimization capabilities through benchmark analysis, innovating new algorithms, and incorporating generative AI into the compiler development workflow. Candidates must possess experience in compiler development, computer architecture, and machine learning. The role requires proficiency with technologies such as MLIR, LLVM, PyTorch 2.0, TVM, and Triton. Engineers will address complex problems like polyhedral optimization for generative AI, communication-avoiding algorithms, and correctness verification for quantized neural operators while contributing to open-source dialect convergence in the LLVM and MLIR ecosystems.

What you'll do

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

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of relevant engineering experience.
  • Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of relevant engineering experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of relevant engineering experience.
  • Experience with compiler development and computer architecture.
  • Experience with machine learning and software engineering.
  • Excellent oral and written communication skills.
  • Experience with MLIR, MLIR dialects, PyTorch 2.0, TVM, Triton, and/or LLVM (preferred).
  • Experience with high-performance computing, polyhedral optimization, or GPU programming (preferred).

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