Senior Audio Software Engineer

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General Summary:

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.

Job Overview

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

• 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Education Requirements

• 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.

Minimum Qualifications:

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field.

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