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Tier-1 employer increases competition but niche DSP specialization reduces applicant density.
Role requires specialized DSP and adaptive-filter expertise, limiting cross-industry transferability.
Explicit 3-5 years plus specific DSP, math, MATLAB/Python and C/C++ skills enforce strict filters.
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Design, develop, and optimize advanced audio signal processing algorithms including echo cancellation, noise suppression, and beamforming for voice applications.
Develop adaptive filtering algorithms (LMS, NLMS, RLS, Kalman filtering) and mathematical models to enhance algorithm robustness and performance in real-world acoustic environments.
Collaborate with machine learning, systems, and implementation teams to ensure production readiness and support debugging and tuning of commercialized audio solutions.
3-5 years of experience in audio/signal processing algorithm development.
Strong foundation and expertise in Digital Signal Processing (DSP) and adaptive filter theory (LMS, NLMS, RLS, Kalman filtering).
Proficiency in MATLAB and/or Python, and good programming skills in C/C++.
Master's or PhD in Electrical Engineering, Signal Processing, Applied Mathematics, or a related field.
Experienced in developing and optimizing DSP algorithms specifically for echo cancellation, noise suppression, beamforming, and speech enhancement in real-world acoustic environments.
Able to apply mathematical modeling and optimization techniques in algorithm design and troubleshooting.
Comfortable working cross-functionally with ML and systems teams for algorithm integration and production deployment.