below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$177,250–$248,375
— the blue band above.
At the midpoint, this role pays about
$194k
versus about
$213k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The Speech & Audio Research Engineer joins the Multimedia R&D Group to develop novel technologies for real-time communication and collaboration. This role involves fundamental research in signal processing and machine learning to create algorithms for natural human-to-human and human-to-machine interaction. Key responsibilities include researching conversational speech codecs for wireless networks, developing technologies for virtual and augmented reality, and implementing embedded neural network models with optimization and quantization. The candidate will utilize digital signal processing techniques like linear prediction and filter design alongside deep learning architectures such as CNN, RNN, and Transformers using TensorFlow or PyTorch. Proficiency in C/C++ and Python is required to build systems for mobile voice telephony, speech enhancement, and automatic speech recognition across mobile, XR, and automotive platforms.
Conduct fundamental research in signal processing and machine learning.
Research and standardize new conversational speech codecs for wireless networks.
Develop real-time communication technologies for virtual and augmented reality applications.
Design and implement embedded neural network models with optimization and quantization.
Perform systems-level implementation and prototyping of communication systems.
Execute live-network testing for communication systems.
Develop algorithms for mobile voice telephony and voice interfaces.
What we're looking for
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Experience with digital signal processing techniques including signal modeling, linear prediction, spectrum analysis, filter design, and adaptive filter theory.
Experience with Deep Learning architectures such as CNN, RNN, LSTM/GRU, and Transformer using TensorFlow or PyTorch.
Programming skills in C/C++ and Python within Windows or Unix/Linux development environments.
Expertise in speech and audio signal processing, including speech coding, enhancement, ASR, or TTS (preferred).
Experience with embedded software development for ARM, DSP, and/or neural signal processing hardware (preferred).
Machine Learning
Deep Learning
Speech Recognition
Natural Language Processing
TTS
Acoustic Modeling
Language Modeling
Dialogue Management
Multi-modal
Tools Development
Large Scale Services
Platforms