Qualcomm Korea에서 오디오 시스템 엔지니어를 채용합니다. 디지털 신호 처리(DSP) 및 ECNS 분야의 10년 이상 경력을 보유한 전문가를 찾습니다. AI/ML 모델 통합 및 실시간 임베디드 시스템 최적화 경험이 필수적이며, 모바일 및 IoT 기기의 음성 품질을 혁신하는 역할을 수행하게 됩니다. C/C++ 및 MATLAB/Python 활용 능력이 중요합니다.
Qualcomm Korea YH
Engineering Group, Engineering Group > Systems Engineering
Qualcomm's Audio Systems team develops industry-leading voice and audio processing technologies deployed across mobile, compute, XR, and IoT devices worldwide.
In this role, you will help build next-generation Echo Cancellation and Noise Suppression (ECNS) solutions by combining classical signal processing with modern AI techniques. Working across the full product lifecycle — from algorithm and model development to system tuning and customer deployment — you will have direct impact on voice quality experienced by millions of users globally.
We are looking for a hands-on Staff Audio Systems 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.
Design, develop, and tune voice and VoIP audio pipelines, including ECNS, noise suppression, beamforming, and spectral filtering.
Integrate and optimize AI/ML models within real-time signal processing chains for speech enhancement applications.
Evaluate and improve speech quality using both objective metrics (e.g., PESQ, POLQA) and subjective listening evaluation methods.
Work closely with software and customer-facing engineering teams to enable, validate, and debug end-to-end audio use cases.
Support customer deployments and field issues through system tuning, model improvements, and root cause analysis and targeted system-level debugging.
Lead or support model development, validation, and selection for ECNS and speech enhancement processing.
Collaborate with research teams to continuously improve algorithms, models, and processing architectures.
Strong background in Digital Signal Processing (DSP) for speech and audio applications.
10+ years of hands-on experience in audio/voice signal processing or VoIP systems.
Proven experience with ECNS, noise suppression, or speech enhancement systems.
Proficiency in MATLAB and/or Python for algorithm development and analysis.
Strong C/C++ programming skills for real-time system implementation.
Demonstrated experience working with cross-functional teams including software, systems, and customer engineering.
Hands-on experience developing or integrating AI/ML models for speech and audio processing.
Experience deploying DSP and AI solutions in real-time, low-latency embedded systems.
Familiarity with audio quality evaluation frameworks and standards (e.g., PESQ, POLQA, ITU-T, 3GPP).
Experience with Qualcomm Snapdragon platforms, Hexagon DSP, or equivalent mobile/edge chipsets.
Exposure to acoustic measurement tools and lab evaluation environments (e.g., HEAD acoustics).
Experience with mobile NPUs or hardware-accelerated inference for audio workloads.
Master's degree in Electrical Engineering, Computer Engineering, Signal Processing, Acoustics, or Applied Mathematics.
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 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.
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