Job description

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Multimedia Systems General Summary: Qualcomm's Multimedia R&D Group is seeking candidates to join its world-class Speech team developing novel technologies enabling the future of real-time communication and collaboration. We conduct fundamental research inventing new algorithms, models, and systems that allow people to engage with one another and their devices in natural ways through speech and gestures over wireless communication devices and networks. Our multi-disciplinary research spans multiple communication modalities and feeds into Qualcomm’s industry-leading businesses across mobile, XR, Compute, IoT, and Automotive. Our technologies have been incorporated into international standards and deployed in mobile devices around the world. We are seeking candidates with technical excellence in Digital Signal Processing (DSP), Machine Learning, and Speech/Audio Processing, with the creativity and initiative to apply their technical knowledge to exciting new modalities and platforms for human-to-human and human-to-machine communication. Job Function The selected candidate will have responsibilities in one or more of the following areas: • Fundamental research in the fields of signal processing and machine learning • Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio (including 3D), natural language, video, computer vision, and graphics • Research, development, and standardization of new conversational speech codecs for wireless networks • Developing technologies for real-time communication in virtual/augmented reality and metaverse applications • Design and implementation of embedded neural network models, including model optimization & quantization • Systems level implementation and prototyping of communication systems, including live-network testing Skills/Experience Strong candidates for this position will possess the following skills and experience • Experience with digital signal processing techniques including signal modeling, linear prediction, spectrum analysis and estimation, statistical signal processing, filter design and implementation, adaptive filter theory, and signal enhancement • Experience with Deep Learning, including a wide variety of architectures such as CNN, RNN, LSTM/GRU, and Transformer, plus familiarity with common toolkits such as TensorFlow or PyTorch • Excellent verbal and written communication and presentation skills • Programming skills in C/C++ and Python, and experience in Windows or Unix/Linux development environments • Master’s degree in Electrical Engineering or Computer Engineering The ideal candidate will further possess these additional skills and experience • Expertise in speech and audio signal processing, in domains such as speech coding, speech enhancement, automatic speech recognition (ASR), or text-to-speech (TTS) and/or neural synthesis • Experience with deep learned representations and self-supervised learning • Experience with capture, transmission, and rendering of speech and audio • Experience developing algorithms and systems for mobile voice telephony and/or voice interfaces • Embedded software development for ARM, DSP, and/or neural signal processing hardware • Ph.D. in Electrical Engineering or Computer Engineering Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. *Works in the lab, can use hazardous chemicals (e.g., glue, machinery). 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 found here . Upon request, Qualcomm will provide reasonable accommodations 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). 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. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits : $155,400.00 - $233,200.00 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 at this link . If you would like more information about this role, please contact Qualcomm Careers .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > Multimedia Systems
Job Function
The selected candidate will have responsibilities in one or more of the following areas:
Fundamental research in the fields of signal processing and machine learning
Advanced use cases for human interaction that combine communication modalities from areas such as speech, audio (including 3D), natural language, video, computer vision, and graphics
Research, development, and standardization of new conversational speech codecs for wireless networks
Developing technologies for real-time communication in virtual/augmented reality and metaverse applications
Design and implementation of embedded neural network models, including model optimization & quantization
Systems level implementation and prototyping of communication systems, including live-network testing
Skills/Experience
Strong candidates for this position will possess the following skills and experience
Experience with Deep Learning, including a wide variety of architectures such as CNN, RNN, LSTM/GRU, and Transformer, plus familiarity with common toolkits such as TensorFlow or PyTorch
Excellent verbal and written communication and presentation skills
Programming skills in C/C++ and Python, and experience in Windows or Unix/Linux development environments
Master’s degree in Electrical Engineering or Computer Engineering
The ideal candidate will further possess these additional skills and experience
Expertise in speech and audio signal processing, in domains such as speech coding, speech enhancement, automatic speech recognition (ASR), or text-to-speech (TTS) and/or neural synthesis
Experience with deep learned representations and self-supervised learning
Experience with capture, transmission, and rendering of speech and audio
Experience developing algorithms and systems for mobile voice telephony and/or voice interfaces
Embedded software development for ARM, DSP, and/or neural signal processing hardware
Ph.D. in Electrical Engineering or Computer Engineering
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

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machine learningpythonrest

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