Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Multimedia Systems

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.


Conducts fundamental machine learning research to create new models or new training methods in various technology areas, e.g. deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs. Drives systems innovations for model efficiency advancement on device as well as in the cloud. This includes auto-ML methods (model-based, sampling based, back-propagation based) for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling) with or without systems-hardware co-design. Performs advanced platform research to enable new machine learning compute paradigm, e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning. Creates new innovative machine learning methodology for advanced uses cases to achieve performance beyond the state-of-the-art. Development of and publication of research findings in the form of presentations and conference papers may also be required.The candidate will develop new algorithms on top of existing techniques and systems for speech enhancement, acoustic echo cancellation and noise suppression, from handsfree voice call, zonal voice call, voice control by voice commands, keyword spotting and audio context/scene detection. We are seeking candidates with technical excellence in deep learning techniques for the above-mentioned audio/voice technologies. Basic knowledge in the following areas is a plus: advanced signal processing techniques, multi-rate signal processing, adaptive beamforming and distributed microphone-based signal processing for tracking and speech enhancement.The responsibilities of this role include:· Working under some supervision.· Providing some supervision/guidance to others.· Making decisions that are moderate in impact; errors may have relatively minor financial impact or effect on projects, operations, or customer relationships; errors may require involvement beyond immediate work group to correct.· Using verbal and written communication skills to convey information that may be somewhat complex to others who may have limited knowledge of the subject in question. May require basic negotiation and influence, cooperation, tact, and diplomacy, etc.· Working within prescribed budget and resources.· Having a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to provide input on key decisions).· Completing tasks that do not have defined steps; simultaneous use of multiple mental abilities is generally required to determine the best approach; mistakes may result in significant rework.· Exercising exceptional creativity to innovate new ideas and develop innovative products/processes without established objectives or known parameters.· Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or incomplete; advanced data analysis/interpretation skills may be required.· Occasionally participating in strategic planning within own area affecting immediate operations.PRINCIPAL DUTIES AND RESPONSIBILITIES:· Displays deep knowledge in a specific area of machine learning; acquires advanced knowledge of current and future industry trends, competitors’ products, and advances within and outside of area of expertise from publicly available information and research; shares knowledge with others on the team and helps less experienced engineers understand and apply advanced concepts.· Drives own and team’s research efforts within a particular domain of machine learning to inform the planning, design, and development of technologies or products in alignment with strategy and product/technology roadmap.· Proactively develops innovative or patentable and alternative ideas for new solutions, designs relevant experiments, and works on implementation.· Manages project team to complete complex tasks and troubleshoot issues related to the engineering and management of machine learning data.· Develops complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies; advises team members and less experienced engineers on designs.· Leads rigorous and principled testing and analysis of algorithms, models, and methods in different scenarios to ensure concepts work across environments; interprets results and implements improvements to optimize solutions.Translates moderately complex research results into publications, workshops, or live demonstrations to engage the research community and communicate the engineering and business impact of concepts.· Establishes identity as a thought leader and innovator within machine learning area of expertise by publishing research papers, attending and/or presenting at industry or academic conferences, and leading internal or external training and education.· Writes clear and detailed technical documentation and descriptions of research findings for complex projects to guide engineers to use or implement research.

Physical Requirements• Monitors and utilizes computers and test equipment for more than 6 hours a day.• Continuous communication (e.g., on conference calls) which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.• Works in the lab, can use hazardous chemicals (e.g., glue, machinery).

Minimum Qualifications


Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems

Work Experiences:

5+ years of Systems engineering or related work experience.



Preferred Qualifications


Doctorate – Computer Science, Doctorate – Electrical Engineering, Masters – Computer Science, Masters – Electrical Engineering

Work Experiences:

7+ years of Systems engineering or related work experience. ,2+ years experience working in one or more multimedia technology areas (i.e., speech, audio, imaging, computer vision, display, sensing, biometrics, augmented/virtual reality).



ARM Architectures, Audio Processing, C++ Programming Language, Multimedia Systems, Video Coding

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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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.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

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.

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About Qualcomm

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.