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Audio DSP Specialist

Diceforce IT LLCPalo Alto, CA🇺🇸United StatesPosted Oct 23, 2026

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationPalo Alto, CA, United States
Posted2 days ago
EchoMATLABDeep LearningC++PythonLinux

Job description

Job Title: Audio DSP Specialist

Location: Palo Alto, CA (Onsite/Hybrid)
Contract Duration: 6 months with strong possibility of extension or conversion to fulltime employment
About the role:
  • We are looking for an experienced Audio DSP Engineer to join our In-Vehicle Infotainment (IVI) audio development team for electric vehicle (EV) platforms. The role will focus on real-time audio signal processing, particularly voice communication / ECNR and audio post-processing.
  • This is a hands-on engineering role. The ideal candidate should be comfortable developing, integrating, debugging, tuning, and validating audio algorithms on an embedded production platform.
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 QA team to perform comprehensive testing, debugging, and validation.
REQUIRED QUALIFICATIONS ( MUST HAVE)
  • 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
  • Directional of Arrival (DoA) estimation
  • Speech enhancement
Experience may include (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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