Automotive Audio Systems Engineer

Overview

Qualcomm's Audio Systems and R&D team is seeking an engineer to implement DSP algorithms and machine learning models for next-generation in-vehicle audio experiences, with emphasis on robust, real-time performance in embedded automotive environments on Snapdragon platforms.

What you'll do

• 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 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.

What you'll need

• Solid understanding of audio signal processing.
• Strong programming experience in Embedded C and 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 implementing ML models and inference analysis for audio features.
• Excellent problem-solving and communication skills.
• Ability to work independently and in teams across functions and locations.
• Masters or PhD in Electronics and Communication, Electrical Engineering, or Computer Science (with signal processing coursework or experience), or a related field (or equivalent work experience).
• 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.

Nice to have

• Experience working in embedded and/or automotive environments.
• 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.