Qualcomm
From Qualcomm's careers page
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In this role, you will help build next-generation ECNS (Echo Cancellation & Noise Suppression) solutions by combining signal processing and AI techniques.
Qualcomm China
Engineering Group, Engineering Group > Multimedia Systems
Qualcomm’s Audio Systems team develops industry-leading voice and audio processing technologies used across mobile, compute, XR, and IoT devices.
In this role, you will help build next-generation ECNS (Echo Cancellation & Noise Suppression) solutions by combining signal processing and AI techniques. You will work across the full lifecycle—from algorithm and model development to system tuning and customer deployment, directly impacting voice quality on millions of devices.
We are looking for a hands-on Audio Systems Engineer with strong expertise in speech/audio signal processing and working knowledge of AI-based audio models.
You will develop and optimize voice/VoIP audio pipelines, integrate AI with classical DSP blocks, and collaborate with software and Customer Engineering teams to deliver production-quality solutions across multiple platforms.
Develop and tune voice/VoIP audio pipelines, including ECNS, noise suppression, and filtering
Integrate and optimize AI models within signal processing chains
Evaluate and improve speech quality using objective and subjective methods
Work closely with software and Customer Engineering teams to enable and debug end-to-end use cases
Support customer deployments and field issues through tuning, model improvements, or targeted analysis
Contribute to model development, validation, and selection for ECNS processing
Collaborate with research teams to improve algorithms and models
Strong background in Digital Signal Processing (DSP) for speech/audio
1 to 2 years or more experience in audio/voice signal processing or VoIP systems
Hands-on experience with ECNS, noise suppression, or speech enhancement
Strong C/C++ programming skills
Experience working with cross-functional teams (SW, CE, systems)
Experience with AI models for speech/audio processing
Experience integrating DSP and AI in real-time systems
Familiarity with audio quality evaluation methods
Master’s degree in Electrical/Computer Engineering or related field (PhD preferred)
DSP, ECNS, echo cancellation, noise suppression, speech enhancement, AI audio, VoIP, audio tuning
Bachelor's degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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If you would like more information about this role, please contact Qualcomm Careers.
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