JobsMachine Learning Compiler Engineer
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Machine Learning Compiler Engineer

Qualcomm

Location

New York City, NY

Type

Full-time

Posted

6/11/2026

Compensation

$200,800 - $301,200 per year

Undergraduate with 5+ Years of Experience
Master's with 5+ Years of Experience
PhD with 5+ Years of Experience
Approval 97.1%·Filings 1,170·New hires 255·
Established Sponsor
·FY 2025

Job description

Qualcomm Technologies, Inc. is seeking ML Compiler engineers to enhance and innovate machine learning compilers within the AI Software department. The team focuses on improving existing compilers and developing new ones, targeting various ML accelerators. Engineers will work with advanced algorithms, generative AI, and contribute to open-source projects. This role offers opportunities for both entry-level and experienced candidates across multiple locations, including New York City, Austin, San Diego, and Raleigh, NC.

Requirements

  • A degree in Computer Science, Engineering, Information Systems, or a related field.
  • 8+ years of experience in Hardware Engineering, Software Engineering, Systems Engineering, or related work experience with a Bachelor's degree.
  • 7+ years of experience with a Master's degree in a relevant field.
  • 6+ years of experience with a PhD in a relevant field.
  • Experience with compiler development and computer architecture.
  • Solid intellectual ability, motivation, and a strong history of achievement.

Responsibilities

  • Work on a wide range of ML compilers.
  • Improve ML compiler optimization capabilities through benchmark analysis and profiling.
  • Innovate new ML compiler and optimization algorithms.
  • Incorporate generative AI into the compiler development workflow and into compilers themselves.
  • Upstream compiler algorithms to open-source compiler projects.
  • Author research publications and represent the company in conferences and industry forums.
  • For senior levels, lead and manage projects while doing substantial technical work.

Benefits

  • Qualcomm offers competitive compensation, annual bonuses, stock programs, comprehensive healthcare coverage, retirement plans, wellness programs, parental leave, flexible work options, and professional development opportunities.

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