Senior Audio Software Engineer
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Role details
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Job description
We are looking for a hands-on Senior Audio Software Engineer with deep expertise in speech and audio signal processing and proven experience integrating AI/ML-based audio models into production systems. You will develop and optimize voice and VoIP audio pipelines, integrate AI models within classical DSP processing chains, and collaborate with software and customer-facing engineering teams to deliver production-quality solutions across multiple platforms and chipsets. Responsibilities
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Design, develop, and tune voice and VoIP audio pipelines, including ECNS, noise suppression, beamforming, and spectral filtering.
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Integrate and optimize AI/ML models within real-time signal processing chains for speech enhancement applications.
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Evaluate and improve speech quality using both objective metrics (e.g., PESQ, POLQA) and subjective listening evaluation methods.
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Work closely with software and customer-facing engineering teams to enable, validate, and debug end-to-end audio use cases.
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Support customer deployments and field issues through system tuning, model improvements, and root cause analysis and targeted system-level debugging.
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Lead or support model development, validation, and selection for ECNS and speech enhancement processing.
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Collaborate with research teams to continuously improve algorithms, models, and processing architectures.
Requirements
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Strong background in Digital Signal Processing (DSP) for speech and audio applications.
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10+ years of hands-on experience in audio/voice signal processing or VoIP systems.
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Proven experience with ECNS, noise suppression, or speech enhancement systems.
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Proficiency in MATLAB and/or Python for algorithm development and analysis.
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Strong C/C++ programming skills for real-time system implementation.
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Demonstrated experience working with cross-functional teams including software, systems, and customer engineering.
Preferred Qualifications
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Hands-on experience developing or integrating AI/ML models for speech and audio processing.
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Experience deploying DSP and AI solutions in real-time, low-latency embedded systems.
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Familiarity with audio quality evaluation frameworks and standards (e.g., PESQ, POLQA, ITU-T, 3GPP).
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Experience with Qualcomm Snapdragon platforms, Hexagon DSP, or equivalent mobile/edge chipsets.
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Exposure to acoustic measurement tools and lab evaluation environments (e.g., HEAD acoustics).
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Experience with mobile NPUs or hardware-accelerated inference for audio workloads.
Education Requirements
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Master’s degree in Electrical Engineering, Computer Engineering, Signal Processing, Acoustics, or Applied Mathematics.
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PhD preferred, particularly for candidates with a research background in speech or audio processing., * Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience., Master’s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience., PhD in Engineering, Information Systems, Computer Science, or related field.
About the company
Qualcomm Korea YH ## Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm’s Audio Systems team develops industry-leading voice and audio processing technologies deployed across mobile, compute, XR, and IoT devices worldwide., Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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