Qualcomm
Overview
Machine Learning Compiler Engineer at Qualcomm Technologies, Inc. General Summary
If you’re 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. 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. 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 Qualifications
Preferred Qualifications
Master's degree in Computer Science, Engineering, Electrical Engineering, or related field Experience with compiler development and computer architecture ML expertise and 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 Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience OR Master’s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience Benefits and Other Details
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. EEO statements apply. Pay range and benefits are provided where applicable. Recruiters can discuss the complete compensation and benefits package during the interview process. EEO Statement
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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Machine Learning Compiler Engineer at Qualcomm Technologies, Inc. General Summary
If you’re 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. 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. 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 Qualifications
Preferred Qualifications
Master's degree in Computer Science, Engineering, Electrical Engineering, or related field Experience with compiler development and computer architecture ML expertise and 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 Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience OR Master’s degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience Benefits and Other Details
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. EEO statements apply. Pay range and benefits are provided where applicable. Recruiters can discuss the complete compensation and benefits package during the interview process. EEO Statement
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
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