Company:Qualcomm Technologies, Inc.
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
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.
Artificial Intelligence is changing the world for the benefits of human beings and societies. QUALCOMM, as the world’s leading mobile computing platform provider, is committed to deliver power-efficient cognitive computing technologies for enabling the wide deployment of intelligent solutions on all possible devices. Be a part of the R&D and Software team, you will be involved and participate in various development phases of the state-of-the-art technologies for next generation machine learning system. In this role you will design, develop & test software for machine learning frameworks that optimize models to run efficiently on edge devices. The candidate is expected to have strong interest and deep passion on making leading-edge “deep learning” framework and algorithms working on mobile/embedded platforms for the benefit of end users.Ideal candidates in this position will demonstrate the following:Bachelor’s in Computer Engineering, Computer Science, Electrical Engineering or related field2+ years’ experience programming using C/C++ & PythonObject oriented design and development skillsDebugging and analysis skills for root causing complex issuesExperience at both the firmware (RTOS) and system level (Linux) in SOCKnowledge of neural networks, with hands-on experience using ML frameworks such as TensorFlow or PyTorchExperience with enhancements to Training Frameworks and/or backendsExperience developing CUDA kernelsKnowledge of Convolutional Neural Networks (CNNs), RNN/LSTMsFamiliarity with any of the deep learning compiler frameworks TVM, Glow or XLAExperience with TDD development solutions like GoogleTest etc.Experience with Source Code and Configuration management tools, such as GitExperience of profiling software and optimization techniquesGood understanding of multi-dimensional data movements and processingExperience developing embedded software, preferably on-device MLPrevious experience working in an Agile environment, and collaborating with multi-disciplinary teamsOther info about this role:This individual creates advanced machine learning techniques that enable a broad set of technology verticals or designs and extends training or runtime frameworks or model efficiency software tools with new features and optimizations. This individual may also model, architect, and develop advanced machine learning hardware (co-designed with machine learning software) for inference or training solutions. These enable the discovery and improvement of state-of-the-art machine learning solutions that has general applicability at functional platform level towards audio, camera, graphics, video, sensors, wireless, and other functionality over various operating systems running on ARM processors and other embedded hardware like DSP/NSP processors, GPU processors that are embedded into mobile, edge, auto, and IOT products, or on data center based systems such as GPUs or dedicated AI hardware. Other responsibilities include developing optimized software to enable AI models efficiently deployed on hardware, such as machine learning kernels, compiler tools, or model efficiency tools, to make sure of specific hardware features, and/or working closely with hardware teams for joint design and development. In this regard, the individual may need to work with and/or optimize machine learning software frameworks like TensorFlow or PyTorch to efficiently run machine learning algorithms on hardware. The responsibilities of this role include: • Working under close supervision.• Taking responsibility for own work and making decisions with limited impact; impact of decisions is readily apparent; errors made typically only impact timeline (i.e., require additional time to correct).• Using verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area.• Completing most tasks with multiple steps which can be performed in various orders; some planning and prioritization must occur to complete the tasks effectively; mistakes may result in some rework.• Exercising creativity to draft original documents, imagery, or work products within established guidelines.• Limited problem solving is required, generally in the nature of troubleshooting simple processes or technology.The responsibilities of this role do not include: • Providing supervision/guidance to others.• Financial accountability (e.g., does not involve budgeting responsibility).• Influence over key organizational decisions.• Role in strategic planning.PRINCIPAL DUTIES AND RESPONSIBILITIES: • Participates in and makes suggestions during design or project reviews, and project meetings.• Takes responsibility for tasks associated with a small part of a project and completes tasks in a timely manner according to project requirements; seeks assistance when needed to solve problems.• Executes tasks and solves straightforward issues related to the engineering and management of machine learning data with some guidance from more experienced engineers.• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with some guidance from more experienced engineers.• Creates and executes methods to optimize new or existing machine learning algorithms, models, kernels, and execution frameworks with some guidance from more experienced engineers. • Assists with the integration of machine learning algorithms into a platform or product for production; helps resolve issues during implementation with minimal guidance.• Seeks knowledge of machine learning industry trends, competitors’ products, and advances within area of expertise from publicly available information and research; requires minimal consultation with more experienced engineers and shares this information with others on the team.
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Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems
Masters – Computer Science, Masters – Engineering, Masters – Information Systems
1+ years experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++). ,6 months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware ,1+ years experience using statistics and probability (e.g., conditional probability, Bayes rule) ,1+ years experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media). ,1+ years experience with Machine Learning frameworks (e.g.,Tensor Flow, Caffe, Caffe 2, Pytorch, Keras) ,1+ years of experience working in a large matrixed organization.
AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics
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.
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If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .
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Who is Qualcomm, and what do we do? 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—invent mobile technology breakthroughs.