Audio Systems Algorithm Development Engineer
Qualcomm · Hyderabad · 3–5 yrs experience · Posted 2026-01-20
Tech stack: C, C++, Python
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About the role
Qualcomm India Private Limited
Engineering Group, Engineering Group > Systems Engineering
Responsibilities: - We are seeking a highly skilled Audio Algorithm Development Engineer with expertise in adaptive filter theory and mathematical optimization.
- The role focuses on designing, analyzing, and optimizing advanced signal processing algorithms for voice and audio applications, including echo cancellation, noise suppression, and beamforming.
- You will work at the intersection of DSP and applied mathematics
- contributing to state-of-the-art AI based Speech enhancement and on-device audio technologies.
- Design and develop advanced audio signal processing algorithms for voice applications including ECNS, speech enhancement, and beamforming.
- Develop and optimize adaptive filtering algorithms (LMS, NLMS, RLS, variants) for echo cancellation, Noise suppression multi-microphone beamforming and source tracking and localization
- Develop algorithm design by mathematical modeling and analysis of audio signals and system behavio r
- Improve robustness and performance across real-world acoustic environments.
- Collaborate with ML, systems, and implementation teams to ensure production readiness.
- Support debugging, tuning, and troubleshooting algorithm performance issues for commercialized solutions.
Qualifications: - Strong foundation in Digital Signal Processing (DSP).
- 3-5 years of experience in audio/signal processing algorithm development.
- Deep understanding of adaptive filter theory (LMS, NLMS, RLS, Kalman filtering).
- Strong background in linear algebra, probability, and statistical signal processing.
- Experience with mathematical optimization techniques.
- Expertise in MATLAB and/or Python.
- Good programming skills in C/C++.
- Experience with ECNS or echo cancellation systems.
- Experience with multi-microphone systems and beamforming.
- Exposure to DSP + AI hybrid audio systems.
- Familiarity with embedded systems and real-time constraints.
- Experience analyzing real-world audio issues and system-level tradeoffs.
- Master’s or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or related field.
- Keywords DSP, Adaptive Filtering, LMS, NLMS, RLS, Optimization, Convex Optimization, Echo Cancellation, Noise Suppression, Beamforming, Speech Enhancement, Audio Signal processing, Mathematical Modeling
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
Qualifications
- Strong foundation in Digital Signal Processing (DSP).
- 3-5 years of experience in audio/signal processing algorithm development.
- Deep understanding of adaptive filter theory (LMS, NLMS, RLS, Kalman filtering).
- Strong background in linear algebra, probability, and statistical signal processing.
- Experience with mathematical optimization techniques.
- Expertise in MATLAB and/or Python.
- Good programming skills in C/C++.
- Experience with ECNS or echo cancellation systems.
- Experience with multi-microphone systems and beamforming.
- Exposure to DSP + AI hybrid audio systems.
- Familiarity with embedded systems and real-time constraints.
- Experience analyzing real-world audio issues and system-level tradeoffs.
- Master’s or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or related field.
- Keywords DSP, Adaptive Filtering, LMS, NLMS, RLS, Optimization, Convex Optimization, Echo Cancellation, Noise Suppression, Beamforming, Speech Enhancement, Audio Signal processing, Mathematical Modeling
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field.
Responsibilities
- We are seeking a highly skilled Audio Algorithm Development Engineer with expertise in adaptive filter theory and mathematical optimization.
- The role focuses on designing, analyzing, and optimizing advanced signal processing algorithms for voice and audio applications, including echo cancellation, noise suppression, and beamforming.
- You will work at the intersection of DSP and applied mathematics
- contributing to state-of-the-art AI based Speech enhancement and on-device audio technologies.
- Design and develop advanced audio signal processing algorithms for voice applications including ECNS, speech enhancement, and beamforming.
- Develop and optimize adaptive filtering algorithms (LMS, NLMS, RLS, variants) for echo cancellation, Noise suppression multi-microphone beamforming and source tracking and localization
- Develop algorithm design by mathematical modeling and analysis of audio signals and system behavio r
- Improve robustness and performance across real-world acoustic environments.
- Collaborate with ML, systems, and implementation teams to ensure production readiness.
- Support debugging, tuning, and troubleshooting algorithm performance issues for commercialized solutions.