Qualcomm
Speech & Audio Research Engineer
$155K–$233K
San Diego, California · On-site · Full-time · Posted Sep 17, 2026
- Experience
- 4+ years with a bachelor's degree, 3+ years with a master's degree, or 2+ years with a PhD in Systems Engineering or related work. The posting also lists experience in DSP and deep learning.
- Education
- Bachelor's, master's, or PhD in a related field under the minimum qualifications. The posting separately identifies a master's degree in Electrical Engineering or Computer Engineering as a strong-candidate qualification and a PhD in either as preferred.
About the job
Conduct speech and audio research and develop algorithms, models, and systems for real-time communication across wireless, mobile, XR, and other platforms.
What you'll do
- Research signal processing and machine learning, including advanced multimodal human-interaction use cases.
- Research, develop, and standardize conversational speech codecs and real-time communication technologies.
- Design and implement embedded neural network models and communication systems, including optimization, quantization, prototyping, and live-network testing.
What they ask for
- Experience with digital signal processing techniques, including signal modeling, spectrum analysis, filter design, and signal enhancement.
- Experience with deep learning architectures such as CNN, RNN, LSTM/GRU, and Transformer, and familiarity with TensorFlow or PyTorch.
- Programming skills in C/C++ and Python, and experience with Windows or Unix/Linux development environments.
- Bachelor's degree in a related field and 4+ years of Systems Engineering or related work experience; or Master's degree and 3+ years; or PhD and 2+ years.
Nice to have
- Expertise in speech/audio processing, such as speech coding, enhancement, ASR, TTS, or neural synthesis; experience with deep learned representations or self-supervised learning.
- Experience with speech/audio capture, transmission, and rendering; mobile voice telephony or voice interfaces; or embedded development for ARM, DSP, or neural signal processing hardware.
Pay
$155,400.00 - $233,200.00 USD (pay range; salary)
Tools
C/C++, Python, Windows, Unix/Linux, TensorFlow, PyTorch, ARM, DSP
AI focus
Research and develop machine-learning and deep-learning models for speech/audio communication, including embedded neural networks, model optimization, and quantization.
Model-written summary · the original posting is authoritative