Qualcomm
Machine Learning Compiler Engineer
Qualcomm, Santa Clara, California, us, 95053
Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Qualcomm's AI Hub team is working on exciting work, see details here and apply to learn and join the team
https://aihub.qualcomm.com/ Responsibilities include: Create state-of-the-art machine learning development tools and software libraries. Design software libraries to assist in building and executing machine learning models. Develop computer algorithms to complete specific software tasks for cutting edge computer vision, speech, and machine learning experiences for the end users of our software stack. Build compiler toolchain to translate, convert and optimize machine learning models. Define and build user-facing application programming interfaces and software packages to enable users to interact with software. Interact with customers as needed and provide engineering roadmap to assist in prioritization of deliverables. 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. 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. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. 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
disability-accomodations@qualcomm.com
or call Qualcomm's toll-free number found here ( https://qualcomm.service-now.com/hrpublic?id=hr _public_article_view&sysparm_article=KB0039028). Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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https://aihub.qualcomm.com/ Responsibilities include: Create state-of-the-art machine learning development tools and software libraries. Design software libraries to assist in building and executing machine learning models. Develop computer algorithms to complete specific software tasks for cutting edge computer vision, speech, and machine learning experiences for the end users of our software stack. Build compiler toolchain to translate, convert and optimize machine learning models. Define and build user-facing application programming interfaces and software packages to enable users to interact with software. Interact with customers as needed and provide engineering roadmap to assist in prioritization of deliverables. 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. 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. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively. 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
disability-accomodations@qualcomm.com
or call Qualcomm's toll-free number found here ( https://qualcomm.service-now.com/hrpublic?id=hr _public_article_view&sysparm_article=KB0039028). Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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