Ensure high quality audio performance in GN headsets by porting, integrating, and validating audio DSP algorithms from reference platforms to specific target platforms (chipsets/OS/SDKs), securing robust, real time operation in mass produced products. Furthermore, troubleshooting complex audio DSP and platform-related issues, feeding insights back into the product development cycle.

Key Responsibilities

• Algorithm porting, integration, and optimization to the target platforms.

  • Port existing audio DSP algorithms (e.g., Noise reduction, Beamforming, AEC, EQ, ANC) from reference implementations to the specific target platforms.
  • Embed the ported algorithm into the existing FW stack of the target platform, including defined interfaces, data flow, and control mechanism for seamless operation of headset’s overall system.
  • Adapt and optimize code to target SDKs, toolchains, and audio frameworks while maintaining algorithm behavior and performance.
    • Handle fixed‑point and floating‑point implementations, data formats, and platform‑specific constraints.

• Integrate DSP/HW modules of target platforms into overall audio signal chain

  • Understand the flow of audio data from transducers through various DSP blocks and out to the speakers and transmission channels.
  • Work with the platform’s specific hardware abstraction layer or audio peripherals (ADCs, DACs, I2S/PCM interfaces, transducers).

• Validation and verification of the ported algorithms and integrated modules.

  • Develop and execute comprehensive test plans to verify the functionality and performance of individual DSP blocks and the complete audio signal chain.
  • Regression test - ensure new changes or optimizations do not compromise the existing functionality.

• Debugging & problem solving

  • Perform low level debugging using debuggers, emulators, and specialized tools to diagnose issues within the DSP firmware, hardware registers, memory, and real time execution flow.
  • Identify root causes of audio anomalies or unexpected behaviors that might be caused by DSP algorithms, hardware interactions, OS scheduling, or interference.
  • Analyze field logs, audio recordings, and reported symptoms, then potentially developed specific diagnostic tools or FW builds for field testing. At the end, provide timely resolution and implement robust fixes.

• Audio system calibration and measurement tool development

  • Develop and implement FW or SW routines for factory calibration of transducers and other audio components to compensate unit-to-unit variation.