Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm's Automotive Audio Systems and R&D team is seeking a highly skilled engineer to work on next-generation Automotive Audio and Voice AI technologies. The role focuses on combining adaptive signal processing with deep learning techniques to develop advanced speech enhancement, echo cancellation, noise suppression, beamforming, and source localization solutions for automotive infotainment and voice interaction systems. The selected candidate will be responsible for maintaining and developing advanced AI models for speech enhancement, acoustic echo cancellation, neural beamforming, directional voice pickup, distance-based speech isolation, and noise suppression

Key Responsibilities

Design and develop advanced audio signal processing and AI-based algorithms for automotive audio systems.
Develop and optimize adaptive filtering algorithms (LMS, NLMS, RLS, Kalman filtering) for echo cancellation, noise suppression, and beamforming.
Develop deep learning models using CNNs, RNNs, autoencoders, for speech enhancement, acoustic echo cancellation, and noise suppression.
Apply multi-microphone and distributed array processing for directionality, tracking, and speech isolation.
Perform mathematical modeling and analysis of audio signals and system behavior.
Conduct research, prototype solutions, and demonstrate innovations for real-world automotive applications.
Collaborate with cross-functional teams (ML, DSP, systems) for productization.
Publish research, file patents, and contribute to technical advancements.

Minimum Qualifications

Strong foundation in Audio Signal Processing
3+ years of experience in audio/signal processing and/or ML research.
Expertise in adaptive filtering (LMS, NLMS, RLS, Kalman filtering), multi-rate signal processing
Strong knowledge of deep learning techniques (CNNs, RNNs, autoencoders, Transformers).
Strong skills in Python and/or MATLAB, and programming in C/C++.
Experience in audio ML model development and deployment (PyTorch).
Strong background in linear algebra, probability, and statistical signal processing.

Preferred Qualifications

Experience in automotive audio systems.
Experience with speech enhancement, echo cancellation, neural beamforming, and noise suppression.
Expertise in multi-microphone processing, distributed microphone arrays, and source tracking/localization.
Experience in model optimization and real-time deployment in embedded systems.
Ability to independently drive research ideas and innovation.

Education Requirements

Master's or PhD in Electrical Engineering, Computer Science, Signal Processing, or related field (PhD preferred).

Keywords

Audio ML, Voice AI, Adaptive Filtering, LMS, NLMS, RLS, Kalman Filtering, Speech Enhancement, Neural Beamforming, Source Tracking, Speaker Diarization, Automotive Audio, PyTorch, DSP, Machine Learning

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

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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Automotive Audio ML Research Engineer