Qualcomm
Company:
Qualcomm Technologies, Inc. Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications:
Master's degree in Computer Science, Engineering, Information Systems, or related field. 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule). 1+ year of experience working in a large matrixed organization. 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware. Principal Duties and Responsibilities:
Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations. Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development. Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap. Level of Responsibility:
Works under supervision. Decision-making affects direct area of work and/or work group. Requires verbal and written communication skills to convey basic, routine factual information. Tasks consist of a limited number of steps and can be referenced using directions or manuals. 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 to request reasonable accommodations to support individuals with disabilities to participate in the hiring process. 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. Pay range and Other Compensation & Benefits:
$122,800.00 – $184,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits here. If you would like more information about this role, please contact Qualcomm Careers.
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Qualcomm Technologies, Inc. Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications:
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications:
Master's degree in Computer Science, Engineering, Information Systems, or related field. 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras). 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule). 1+ year of experience working in a large matrixed organization. 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware. Principal Duties and Responsibilities:
Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations. Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development. Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same. Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap. Level of Responsibility:
Works under supervision. Decision-making affects direct area of work and/or work group. Requires verbal and written communication skills to convey basic, routine factual information. Tasks consist of a limited number of steps and can be referenced using directions or manuals. 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 to request reasonable accommodations to support individuals with disabilities to participate in the hiring process. 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. Pay range and Other Compensation & Benefits:
$122,800.00 – $184,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits here. If you would like more information about this role, please contact Qualcomm Careers.
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