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).
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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.
