Qualcomm
Machine Learning Compiler Engineer
Qualcomm, Oregon, Illinois, United States, 61061
Company:
Qualcomm Technologies, Inc. Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering 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. 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 architecture ML 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 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 Engineering 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. 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 architecture ML 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 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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