Automotive Audio Systems Engineer

QUALCOMM, Inc.; Hyderabad; On-site; INR 1,200,000 - 1,900,000; Full time

Job summary

Qualcomm India Private Limited is seeking a skilled engineer to implement DSP and ML models for next-generation in-vehicle audio on Snapdragon platforms. You will design, optimize, and evaluate real-time audio algorithms, collaborating across hardware, software and systems teams to deliver robust embedded solutions.

The role requires strong DSP and Embedded C skills, familiarity with ML basics, and hands-on use of audio analysis tools like ACQUA and Audio Precision.

Qualifications

• Solid understanding of Audio Signal processing.
• Strong programming in Embedded C and real-time DSP.
• Basic understanding of Python and ML.
• Experience with DSP algorithm design and audio applications.
• Hands-on experience with ACQUA, Audio Precision or similar tools.
• Experience in embedded/automotive environments is a plus.
• Excellent problem-solving and communication skills.
• Ability to work independently and in cross-functional teams.
• Masters/PhD in Electronics and Communication, Electrical Engineering, CS, or related field.
• Or Bachelor's with 2+ years or Master's with 1+ year or PhD in related field.

Responsibilities

• Design, develop, and optimize DSP algorithms for automotive audio.
• Implement ML models and audio processing modules for embedded systems.
• Integrate audio algorithms into embedded platforms with real-time performance.
• Collaborate with hardware, software, systems teams for integration.
• Perform root cause analysis and debugging of audio system issues.
• Stay updated with DSP, ML advances and automotive standards.

Skills

Embedded C

Real-time DSP

Python

Machine Learning

DSP algorithms

ACQUA

Audio Precision

Embedded systems

Inference analysis

Automotive experience

Education

Master's or PhD in EE/CS

Bachelor's in Engineering

PhD in Engineering

Tools

ACQUA

Audio Precision

Qualcomm SDKs

Job description

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 implementing 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 [e-mail] 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.