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Audio DSP Specialist

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Onsite

Audio DSP Specialist

The AES Group

Audio DSP Specialist

Skills

Deep LearningPythonTesting & QAMATLABMachine LearningLinux

13 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Palo Alto, CA, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


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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