Machine Learning Compiler Engineer
SAN DIEGO, CAJobSeen 1w agoSeen in employer's feed 3 days ago
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Job overview
Qualcomm’s Compiler Labs unit in its AI Software department develops and improves machine-learning compilers for accelerators including Qualcomm Neural Signal Processors, Adreno GPUs, and CPU accelerators. The team applies mathematics, algorithms, and compiler technologies to optimization challenges, and emphasizes precise program representations and software engineering. The role spans multiple experience levels and locations, with mentoring and early responsibility for entry-level engineers.
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Full job description
Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:Job DescriptionIf youre interested in advancing and applying mathematics, programming languages theory, and advanced algorithms to program optimization for cutting-edge machine learning accelerators, then you really want to be talking to us! The Compiler Labs unit in Qualcomm AI Software department is looking for ML Compiler engineers to join our team. We work tactically on improving existing ML compilers and strategically on developing new and innovative ML compilers. Our technical approach to compilers emphasizes powerful representations for precisely and compactly modeling programs and the optimization challenges and using advanced mathematics and algorithms for performing optimizations. We are also solid in using old school compiler technologies as they apply to contemporary ML challenges, and in meticulous software engineering to produce beautiful compilers. We are also keen about seeing our compilers used and having large impacts on Qualcomms business. Mapping ML algorithms to ML accelerators is currently one of the most interesting and challenging problems for compilers. Our compiler targets include the Qualcomm Neural Signal Processor, Adreno GPUs, low-power ML accelerators, and CPU accelerators.This job description spans multiple levels, from entry to experienced. Our team is a good home for compiler developers with advanced degrees, and we have solid mentoring and give substantial responsibility quickly for entry level engineers. The team is also open to multiple locations - San Diego/Santa Clara/Raleigh. Preferred Qualifications: Master's degree in Computer Science, Engineering, Electrical Engineering, or related field. Experience with compiler development and computer architectureML experience A degree in the field of computer science or applied mathematics Experience with software engineering Solid intellectual ability, motivation, and a strong history of achievement Excellent oral and written communication skills Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM SYCL experience ML applications and ML optimization experience ML architecture experience High performance computing experience Polyhedral compiler optimization experience Loop transformation and vectorization experience GPU programming, parallel programming experience General optimization experience Principal Duties and 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 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 Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ORMaster's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ORPhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasona
How this job compares
Set against the 6,346 open Machine Learning Engineer jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This postingNot listed
- California median$175–260K/yr1,395 salary ranges
- California median$50–78/hr34 hourly ranges
- Openings
- Olive Jobs lists 1,876 open Machine Learning Engineer jobs in California and 6,346 across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Apple169 open
- Google112 open
- Capital One59 open
- Experience
- This posting asks for at least 6 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (5,143 postings).
- Education
- 2,511 of the 6,346 open Machine Learning Engineer jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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