Qualcomm’s Audio Systems and R&D team is seeking a talented and highly motivated engineer specializing in the implementation of Digital Signal Processing (DSP) algorithms and Machine Learning (ML) models for next-generation in-vehicle audio experiences. This role involves hands-on development, integration, evaluation, and optimization of advanced audio algorithms on Snapdragon platforms, with an emphasis on ensuring robust, real-time performance in embedded automotive environments. 

Key Responsibilities: 

• Design, develop, and optimize DSP algorithms for automotive audio applications (e.g., noise reduction, echo cancellation, audio enhancement, Zonal Voice, etc.). 

• Implement Machine Learning models and audio signal processing modules for deployment in embedded systems. 

• Integrate audio algorithms into embedded platforms, ensuring that real-time performance and robustness requirements are met. 

• Collaborate with cross-functional teams (hardware, software, systems) for algorithm integration and productization. 

• Perform root cause analysis and debugging of audio system issues, proposing and implementing effective solutions. 

• Stay up-to-date with the latest advancements in audio DSP, ML, and automotive compliance and standards, and contribute innovative ideas to the team. 

Requirements: 

• Solid understanding of Audio Signal processing 

• Strong programming experience in Embedded C, real-time DSP. 

• Basic understanding of Python and ML. 

• Proven experience with DSP algorithm design and implementation for audio applications. 

• Hands-on experience working with ACQUA, Audio Precision, or similar audio analysis and measurement tools. 

• Experience with implementing ML models and inference analysis for audio features  

• Experience working in embedded and/or automotive environments is a plus. 

• Excellent problem-solving and communication skills. 

• Ability to work independently and in teams across functions and locations. 

Minimum Qualifications:  

• Masters or PhD in Electronics and Communication, Electrical Engineering, Computer Science (with Signal Processing coursework or experience), or a related field (or equivalent work experience). 

Preferred Skills: 

• Knowledge of automotive infotainment systems and their audio stack. 

• Familiarity with noise reduction, echo cancellation, audio enhancement, Zonal Voice 

• Familiarity with Qualcomm SDKs and tools. 

Keywords: 
Audio Processing, Signal Processing, Echo Cancellation, Noise Suppression, Noise Reduction, Embedded DSP, Automotive Audio, Audio datasets,Machine Learning, Voice Recognition, Speech Recognition,  Zonal Voice, Beamforming.