Audio DSP Specialist

The AES Group

  • Palo Alto, CA
  • 13 days ago

    Highlights

    Seeking a highly experienced Audio DSP Engineer to develop, integrate, optimize, debug, and validate real-time audio processing algorithms on automotive infotainment platforms. Expects experience with several voice-processing algorithms, including VAD, AGC, RES, DoA, and wind-noise reduction, rather than requiring every algorithm individually.

    Numbers & Facts

    LocationPalo Alto, CA

    Description

    Job Title: Audio DSP Specialist
    Location: Palo Alto, California
    Work Arrangement: 100% Onsite

    Position Overview
    Seeking a highly experienced Audio DSP Engineer to develop, integrate, optimize, debug, and validate real-time audio processing algorithms on automotive infotainment platforms.
    The role focuses on voice communication, echo cancellation, microphone array processing, speech enhancement, and automotive audio post-processing.

    WHAT YOU'LL DO

    • Development of audio processing stack: Drive the implementation and optimization of the infotainment audio software stack.
    • Develop and integrate voice communication and voice recognition solutions for IVI (In-vehicle infotainment) platforms.
    • Work closely with HW engineers and the system integration team to ensure tight integration and that the audio stack meets high-quality standards.
    • Work closely with the QA team to perform comprehensive testing, debugging, and validation.

    Mandatory Technical Skills

    • Audio DSP: Strong hands-on development experience with speech and microphone-array signal processing algorithms. Experience with several of the following components is expected:
    • Acoustic Echo Cancellation (AEC)
    • Adaptive Beamforming: MVDR or similar techniques
    • Noise Reduction (NR)
    • Residual Echo Suppression (RES)
    • Voice Activity Detection (VAD)
    • Automatic Gain Control (AGC)
    • Wind noise reduction
    • Direction of Arrival (DoA) estimation
    • Speech enhancement

    Expects experience with several voice-processing algorithms, including VAD, AGC, RES, DoA, and wind-noise reduction, rather than requiring every algorithm individually.

    Good to Have

    • Traditional DSP / statistical signal-processing algorithms
    • Deep Learning / Neural Network-based speech enhancement
    • Hybrid DSP + ML solutions
    • Audio Post-Processing: Hands-on experience developing or integrating real-time audio playback and post-processing pipelines, including:
    • Audio mixing/routing
    • Volume / Gain control
    • Mute/ducking
    • Channel mapping
    • Equalization
    • Audio filtering
    • Sample rate conversion, etc.
    • ALSA / Linux Audio: Strong understanding of Linux audio architecture, particularly ALSA
    • Real-time Audio SW Development experience: Strong C/C++ software development experience with real-time audio processing systems.

    PREFERRED QUALIFICATIONS

    • Commercialization experience: Voice communication and/or Voice recognition features
    • Automotive / IVI Experience Strong Plus: Experience developing audio systems for automotive or IVI platforms is highly desirable.
    • Hands-on experience with DSP Concepts Audio Weaver (AWE) is highly desirable.
    • Experience with acoustic measurement, tuning, and validation equipment and tools: HATS, HEAD Acoustics, Audio Precision

    SKILLS

    • Strong experience with C/C++, Python, and Matlab
    • Audio Weaver

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