Qualcomm
Machine Learning Compiler Engineer
Qualcomm, Oregon, Illinois, United States, 61061
Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral 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.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.Preferred Qualifications:Master's degree in Computer Science, Engineering, Electrical Engineering, or related field.Experience with compiler development and computer architectureML experienceA degree in the field of computer science or applied mathematicsExperience with software engineeringSolid intellectual ability, motivation, and a strong history of achievementExcellent oral and written communication skillsExperience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVMSYCL experienceML applications and ML optimization experienceML architecture experienceHigh performance computing experiencePolyhedral compiler optimization experienceLoop transformation and vectorization experienceGPU programming, parallel programming experienceGeneral optimization experiencePrincipal Duties and Responsibilities:Work on a wide range of ML compilersImprove ML compiler optimization capabilities through benchmark analysis and profilingInnovate new ML compiler and optimization algorithmsUpstream compiler algorithms to open-source compiler projectsAuthor research publications and represent the company in conferences and industry forumsFor senior levels - Lead and manage projects while doing substantial technical workMinimum Qualifications:Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral 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.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.Preferred Qualifications:Master's degree in Computer Science, Engineering, Electrical Engineering, or related field.Experience with compiler development and computer architectureML experienceA degree in the field of computer science or applied mathematicsExperience with software engineeringSolid intellectual ability, motivation, and a strong history of achievementExcellent oral and written communication skillsExperience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVMSYCL experienceML applications and ML optimization experienceML architecture experienceHigh performance computing experiencePolyhedral compiler optimization experienceLoop transformation and vectorization experienceGPU programming, parallel programming experienceGeneral optimization experiencePrincipal Duties and Responsibilities:Work on a wide range of ML compilersImprove ML compiler optimization capabilities through benchmark analysis and profilingInnovate new ML compiler and optimization algorithmsUpstream compiler algorithms to open-source compiler projectsAuthor research publications and represent the company in conferences and industry forumsFor senior levels - Lead and manage projects while doing substantial technical workMinimum Qualifications:Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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