Qualcomm R&D Engineers - Machine Learning (Audio/Speech) in San Diego, California
R&D Engineers - Machine Learning (Audio/Speech)
Qualcomm Technologies, Inc.
CDMA Technology at http://www.qualcomm.com/about/businesses/qct
Engineering - Systems
California - San Diego
The Voice User Interface team in collaboration with the Advanced Technology R&D team is looking for a research engineer with a passion for signal processing and machine learning with application to multimedia and in particular audio/speech data. You will be working with a team of multi microphone signal processing and machine learning experts to develop advanced Voice User Interface algorithm targeting Hearables, Smart Speakers, IoT and mobile device use cases. The team includes systems, hardware and software engineers developing and porting newly designed solutions to real live prototypes shown at trade-shows and other customer events. Responsibilities:
Develop new signal processing/machine learning algorithms for speech and audio data in Matlab/C
Tailor algorithms to particular use cases and implement in corresponding prototypes in collaboration with software/hardware engineers; file corresponding IP
Combine audio/speech feature set with other modalities such as sensors and video
After successful demos to technical and non technical audiences, work with commercialization teams to transfer and deploy newly developed technology solutions onto QCOM platforms
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
2+ years Systems Engineering or related work experience.
Familiarity with recent trends in machine learning such as deep neural nets (DNN, CNN, LSTM-RNN) and traditional statistical modeling/feature extraction techniques (GMM, HMM, NMF / spectrograms, MFCC etc) for voice recognition and audio event classification
Hands-on experience in and good theoretical understanding of signal processing concepts such as adaptive filtering, multi microphone processing, acoustic noise cancellation, filterbank design with application to time series signals
In addition to signal processing algorithm development, willingness to engage in hands-on R&D in machine learning and modeling of speech/audio data (neural nets, GMM, NMF, etc)
Coding experience in Matlab, C
Working in cross disciplinary, geographically-dispersed teams
Required: Bachelor's, Computer Engineering and/or Computer Science and/or Electrical Engineering
Preferred: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering
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.