Audio Systems Engineer, Telephony

Google Google · Big Tech · New Taipei, Banqiao District, New Taipei City, Taiwan

This role focuses on developing and tuning audio algorithms for telephony voice call experiences in consumer hardware products. Responsibilities include defining, evaluating, and implementing voice processing pipelines, with a focus on voice quality and performance.

What you'd actually do

  1. Work with cross-functional teams to help deliver telephony voice call experience with excellent voice quality and take on voice algorithm tuning and validation. Work with audio engineering and algorithm teams to perform advance debugging of signal chains.
  2. Define, evaluate, benchmark, and tune voice communication/telephony algorithms (e.g., Noise suppressor, microphone beamforming, Acoustic Echo Cancellation (AEC)), for all calling scenarios by objective and subjective methods.
  3. Implement a voice processing pipeline or voice algorithm into the Audio subsystem by considering system requirements on power, thermal, memory and latency.
  4. Provide guidance to internal and external algorithms and solution providers to guide road maps, and contribute to the road maps by investigating new technologies and delivering new features.
  5. Collaborate with acoustic engineers on loudspeaker and microphone architecture and locations on devices for optimized audio devices.

Skills

Required

  • Acoustics, Electrical or Computer Engineering, Physics, or related field degree
  • 4 years of experience in consumer hardware
  • Experience with audio measurement tools (e.g., SoundCheck, Audio Precision, ACQUA)
  • Experience with voice quality measurement using ACQUA and HATS
  • Experience with voice algorithm tuning (acoustic echo cancellation, adaptive beamforming, noise suppression)

Nice to have

  • Master's degree or PhD in Acoustics, Electrical Engineering, or related field
  • 7 years of experience in audio related fields
  • Experience with ITU-T, 3GPP, ETSI specifications
  • Experience with Machine Learning (ML) based voice algorithms
  • Experience with voice processing pipeline development, evaluation or implementation
  • Experience with acoustic and electrical measurement
  • Knowledge of voice algorithms (acoustic echo cancellation, beamforming, noise suppression)

What the JD emphasized

  • consumer hardware
  • voice quality
  • voice algorithm tuning
  • acoustic echo cancellation
  • adaptive beamforming
  • noise suppression