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Machine Learning Engineering - Engineer, Senior Staff

Company: Qualcomm
Location: Raleigh
Posted on: April 10, 2021

Job Description:

Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > Machine Learning Engineering Job 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 Aptitudes + Hands-on experience with Deep Learning frameworks like SNPE, Keras, Caffe/Caffe2, TensorFlow, PyTorch + Experience 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 operators + Experience and understanding of architecture and processing of industry leading frameworks like PyTorch, ONNX, Caffe2, and Tensorflow + Experience with machine learning algorithms and architectures, including CNNs, and RNNs/LSTMs + Proven experience assessing requirements and developing system level solutions spanning full SW stack across full life cycle from concept to production + Excellent C and C++ software design skills + Knowledge of Linux infrastructure and development tools + Degree in Machine Learning/AI, Statistics, Applied Mathematics, Computer Science, or similar quantitative discipline + Experience with Source Code and Configuration management tools such as git Minimum Qualifications + Bachelor'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 Qualifications + Understanding of GPU and/or DSP architectures, familiarity with low-level hardware designs or assembly coding a plus + Good understanding of compilers, LLVM or similar preferred + Strong background in mathematical operations: linear algebra, fast math libraries a plus + Excellent analytical, development, and debugging skills + Passion for machine learning Applicants: 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 (https://qualcomm.service-now.com/hrpublic?id=hr\_public\_article\_view&sysparm\_article=KB0039028) 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. We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal-we invent breakthrough technologies that transform how the world connects, computes, and communicates. Employment Notices for US-based Job Postings Equal Employment Opportunity (https://www.eeoc.gov/sites/default/files/migrated\_files/employers/poster\_screen\_reader\_optimized.pdf) "EEO is the Law" Poster Supplement Pay Transparency NonDiscrimination Provision (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp\_%20English\_formattedESQA508c.pdf) Employee Polygraph Protection Act Family Medical Leave Act (https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/fmlaen.pdf) Rights of Pregnant Employees Discrimination and Harassment (https://www.dfeh.ca.gov/wp-content/uploads/sites/32/2020/10/Workplace-Discrimination-Poster\_ENG.pdf) California Family Rights Act Prepare and succeed Qualcomm Interview FAQs (https://www.qualcomm.com/company/careers/faqs) Employment Fraud Alert We have received reports of employment scams that seek financial or personal information from job candidates. Please note these communications are fraudulent. Click here (https://www.qualcomm.com/employment-fraud-alert) to view our Employment Fraud Alert.

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

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