Job Title

Role SummaryDesign and deliver advanced audio systems and algorithms—spanning audio feature extraction, echo cancellation, noise suppression, and speech enhancement—using a combination of signal processing and machine learning for deployment on Qualcomm platforms.Key ResponsibilitiesDevelop end-to-end audio solutions including audio features, AEC, noise suppression, and speech enhancement algorithmsCreate, implement, and commercialize DSP- and ML-based audio algorithmsOptimize fixed-point and floating-point implementations for embedded platformsBuild, evaluate, quantize, and deploy efficient audio ML models across CPU, GPU, and NPUValidate audio subsystem performance for robustness, power, and stabilityConduct acoustic measurements, demos, and system-level testingCollaborate with R&D, systems, and customer teams to support integration and commercializationRequired SkillsStrong foundation in audio signal processing and audio feature extractionHands-on experience with Echo Cancellation, Noise Suppression, and Speech EnhancementProficiency in Embedded C/C++, MATLAB, and PythonExperience with embedded DSP platforms, real-time systems, and software optimizationKnowledge of audio ML architectures (CNNs, RNNs, U-Nets, Transformers)Strong communication, cross-functional collaboration, and problem-solving skillsQualificationsBachelor’s, Master’s, or PhD in Engineering or related field with relevant experienceFamiliarity with Qualcomm audio frameworks, SDKs, and tools is a plus