퀄컴 코리아에서 오디오 시스템 엔지니어를 채용합니다. 디지털 신호 처리(DSP) 및 ECNS(에코 제거 및 노이즈 억제) 기술을 활용하여 차세대 오디오 솔루션을 개발합니다. AI 기반 오디오 모델 최적화 및 시스템 튜닝 경험이 필수이며, 관련 분야에서 2~5년 이상의 경력을 보유한 전문가를 찾습니다.
Qualcomm Korea YH
Engineering Group, Engineering Group > Systems Engineering
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 train and optimize audio models for various voice/audio use cases, integrate AI with speech processing DSP blocks, and collaborate with software and Customer Engineering teams to deliver production-quality solutions across multiple platforms.
Develop, optimize and tune AI based audio solutions, including ECNS, noise suppression, and filtering
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 training, 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
5+ years of experience in audio/voice signal processing
Hands-on experience with ECNS, noise suppression, or speech enhancement
Experience with MATLAB and/or Python
Strong C/C++ programming skills
Experience working with cross-functional teams
Experience with AI models for speech/audio processing
Experience integrating DSP and AI in real-time systems
Familiarity with audio quality evaluation methods
Experience with embedded or low-power platforms
Master’s degree in Electrical/Computer Engineering or related field (PhD preferred)
• 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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