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Automotive Audio ML Research Engineer

Qualcomm -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

MATLAB
Doctoral degree
Computer Science
Signal processing
PyTorch
Software deployment
Engineering
Information Systems
Research
M.Eng
Master's degree
C++
Electrical experience
C
Bachelor's degree
Machine learning
Deep learning
Systems engineering
Electrical Engineering
AI
Python

Full job description

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.

Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers .

Apply Now

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