Qualcomm R&D Engineers – Machine Learning (Audio/Speech) in San Diego, California
Job Id T1956878
Job Title R&D Engineers – Machine Learning (Audio/Speech)
Company-Division Qualcomm Technologies, Inc.
CDMA Technology at http://www.qualcomm.com/about/businesses/qct
Job Area Engineering - Systems
Location California - San Diego
The Hearables 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 Hearables, 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.
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
Professional Attributes and Desired Skills:
1 year R&D experience in academic/industrial setting
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
Education Requirements Required: Master's, Computer Engineering and/or Computer Science and/or Electrical Engineering
Preferred: Doctorate, Computer Engineering and/or Computer Science and/or Electrical Engineering
EEO employer: including race, gender, gender identity, sexual orientation, disability & veterans status.