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Automotive Audio Systems Engineer

Qualcomm

Hyderabad, IndiaEntryH-1B sponsor company
Sign in to applyVerified
Location
Hyderabad, India
Work model
On-Site
Level
Entry
H-1B history
22 approvals (FY2023)
Posted

Skills

Machine LearningPythonREST

About this role

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm’s Audio Systems and R&D team is seeking a talented and highly motivated engineer specializing in the implementation of Digital Signal Processing (DSP) algorithms and Machine Learning (ML) models for next-generation in-vehicle audio experiences. This role involves hands-on development, integration, evaluation, and optimization of advanced audio algorithms on Snapdragon platforms, with an emphasis on ensuring robust, real-time performance in embedded automotive environments.

Key Responsibilities

Design, develop, and optimize DSP algorithms for automotive audio applications (e.g., noise reduction, echo cancellation, audio enhancement, Zonal Voice, etc.).   Implement Machine Learning models and audio signal processing modules for deployment in embedded systems.   Integrate audio algorithms into embedded platforms, ensuring that real-time performance and robustness requirements are met.   Collaborate with cross-functional teams (hardware, software, systems) for algorithm integration and productization.   Perform root cause analysis and debugging of audio system issues, proposing and implementing effective solutions.   Stay up-to-date with the latest advancements in audio DSP, ML, and automotive compliance and standards, and contribute innovative ideas to the team.

Requirements

Solid understanding of Audio Signal processing   Strong programming experience in Embedded C, real-time DSP.   Basic understanding of Python and ML.   Proven experience with DSP algorithm design and implementation for audio applications.   Hands-on experience working with ACQUA, Audio Precision, or similar audio analysis and measurement tools.   Experience with   im plementing ML models   and inference analysis   for audio   features     Experience working in embedded and/or automotive environments is a plus.   Excellent problem-solving and communication skills.   Ability to work independently and in teams across functions and locations.

Minimum Qualifications

Masters or PhD in Electronics and Communication, Electrical Engineering, Computer Science (with Signal Processing coursework or experience), or a related field (or equivalent work experience).

Preferred Skills

Knowledge of automotive infotainment systems and their audio stack.   Familiarity with   noise reduction, echo cancellation, audio enhancement, Zonal Voice   Familiarity with Qualcomm SDKs and tools.     Keywords:   Audio   Processing, Signal Processing , Echo Cancellation, Noise Suppression, Noise Reduction,  Embedded DSP,  Automotive Audio,   Audio datasets, Machine Learning, Voice Recognition, Speech Recognition,    Zonal Voice, Beamforming .       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  disability-accomodations@qualcomm.com  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

Listing verified . Applications go through the company's official careers site.

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