Job Description

**Company:** Qualcomm Technologies, Inc. **Job Area:** Engineering Group, Engineering Group > Multimedia Systems **General Summary:** Qualcomm's Automotive Audio R&D/Systems team is seeking candidates for its automotive audio team in San Diego, CA. The candidate will maintain, tune and develop new algorithms and systems for speech enhancement, acoustic echo cancellation and noise suppression, for handsfree voice call in vehicle with multiple distributed microphones across the car-cabin. We are seeking candidates with technical excellence in advanced signal processing techniques, multi-rate signal processing, adaptive beamforming and distributed microphone-based signal processing for tracking and speech enhancement. Candidates with the creativity and initiative to apply their technical knowledge to exciting new technologies for automotive audio infotainment applications. Team develops algorithms for a range of products such as handset (Smart Phones), headsets, IoT devices (Smart-speakers, Sound-Bars etc), automotive etc. Pretty much all audio. This position will investigate in advancing, maintaining and tuning the algorithms for handsfree phone-call within automotive with other team members. 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 in vehicle with multiple distributed microphones across the car-cabin, zonal voice call, In Car Communication to voice control of the vehicle infotainment by voice commands. We are seeking candidates with technical excellence in some of the following areas: advanced signal processing techniques, multi-rate signal processing, adaptive beamforming and distributed microphone-based signal processing for tracking and speech enhancement, equalization of speech rendering in the car-cabin with directional cues. Candidates with the creativity and initiative to apply their technical knowledge to exciting new technologies for automotive audio infotainment applications. This position will investigate in advancing the audio algorithms for automotive voice and audio infotainment features with other team members. The candidate will also develop new algorithms on top of existing deep learning-based 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, audio context/scene detection. Source separation and fully supervised speaker diarization. We are seeking candidates with technical excellence in deep learning techniques with extensive knowledge of CNNs, RNNs, Auto Encoders and more for the above-mentioned audio/voice technologies. **Responsibilities:** The selected candidate will have responsibilities in one or more of the following areas: + Development of advanced signal processing algorithms to further the state-of-the-art audio infotainment features in a vehicle. + Maintain, tune and develop the algorithms for handsfree phone calls in car-cabin. + Conduct state of the art research in speech enhancement using multiple linear and distributed microphone arrays. + Distributed microphone-based signal processing to identify the number and directionality of the desired talkers. + Well versed with multi-rate signal processing and adaptive signal processing. + Ability to proto-type and demonstrate the research ideas. + File patents on novel research ideas that further our product line. **Minimum Qualifications:** + M.S. in Electrical Engineering, with emphasis on adaptive signal processing, speech enhancement and other audio related areas. + Familiar with C/C++ based fixed point programming. **Preferred Qualifications:** + Exceptional team player. + Excellent communication and organizational skills. + Experienced in using tools like adobe audition etc in analyzing audio artifacts. + Ability to work without micromanagement and be able to drive his/her research ideas targeting the problems we plan to solve together. + Proven record of publications in IEEE and other Scholarly conferences and journals. + Proficient in Mat-lab based programming for algorithm development and proto-typing. + Sound knowledge of advanced signal processing concepts including but not limited to adaptive signal processing, statistical signal processing, multi-rate signal processing, time, frequency and sub-band-based signal processing, adaptive beamforming and other speech enhancement techniques. **Minimum Qualifications:** - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ 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 [email protected] 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** **:** $179,000.00 - $268,400.00 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 ( . 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

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Work experience placement, Work from home,

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