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Qualcomm Incorporated: Machine Learning Engineering - Engineer, Senior Staff

Company: QUALCOMM Incorporated
Location: Raleigh
Posted on: November 22, 2020

Job Description:

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Machine Learning EngineeringJob Overview:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age and this is where you come in.Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning.You will join the CR& D team running machine learning models on and developing the SDK for Qualcomms Neural Signal Processor. Your focus will be on analyzing the functionality and performance of competing products and helping to define the roadmap and implementation for Qualcomm Qranium SDK solution. Additionally, you will participate in the porting of ML frameworks and software to Qranium and perform detailed analysis of overall Qranium SDK and neural network performance.You will be collaborating across internal teams within CR& D as well as with Qualcomms commercial division (QCT) covering multiple engineering disciplines including: system level feature definition and development, full stack software architecture, systems and hardware. Direct customer interaction supporting feature development and productization of commercial solutions may also be required. The successful applicant should have a diverse skill set including a strong background in system design, machine learning, and performance, an understanding of accelerator architectures and a passion to design and develop industry leading solutions.Skills and AptitudesHands-on experience with Deep Learning frameworks like SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorchExperience and understanding of a wide variety of DL network architectures spanning CNNs, RNNs/LSTMs, transformers/NLP, and more. Hands on experience developing neural networks and/or neural network operatorsExperience and understanding of architecture and processing of industry leading frameworks like PyTorch, ONNX, Caffe2, and TensorflowExperience with machine learning algorithms and architectures, including CNNs, and RNNs/LSTMsProven experience assessing requirements and developing system level solutions spanning full SW stack across full life cycle from concept to productionExcellent C and C++ software design skillsKnowledge of Linux infrastructure and development toolsDegree in Machine Learning/AI, Statistics, Applied Mathematics, Computer Science, or similar quantitative disciplineExperience with Source Code and Configuration management tools such as gitMinimum QualificationsBachelor's degree in Engineering, Information Systems, Computer Science, or related field.7 years Software Engineering or related work experience.3 years experience with Programming Language such as C, C++, Java, Python, etc.Preferred QualificationsUnderstanding of GPU and/or DSP architectures, familiarity with low-level hardware designs or assembly coding a plusGood understanding of compilers, LLVM or similar preferredStrong background in mathematical operations: linear algebra, fast math libraries a plusExcellent analytical, development, and debugging skillsPassion for machine learningApplicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm---s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, 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. Qualcomm is an equal opportunity employer and supports workforce diversity.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.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.

Keywords: QUALCOMM Incorporated, Raleigh , Qualcomm Incorporated: Machine Learning Engineering - Engineer, Senior Staff, Other , Raleigh, North Carolina

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