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.
- Create internal tools or scripts for automated testing, debugging, and performance evaluation during development and manufacturing.
- Documentation & maintenance
- Document implementation detail, integration interfaces, configuration parameters, and test procedures.
- Ensure well-commented code, modular, and adherence to GN coding standards for future maintenance and scalability.
- Cross‑Functional Collaboration
- Work closely with Algorithm/DSP researchers, FW/SW engineers, and Acoustic Engineers to ensure the ported implementation matches the intended algorithm design and audio targets.
- Engage with vendors for technical support, SDK updates, bug reporting and leverage platform-specific optimizations.
Required Qualifications
- Bachelor’s or master’s degree in Electrical Engineering, Signal Processing, Computer Science, or related technical fields.
- Solid knowledge of core audio DSP concepts (equalization, FFT, adaptive filters, gain control, etc.).
- Experienced with MATLAB or Python for signal analysis, verification, and test automation.
- Proficient in C/C++ development for embedded systems.
- Familiar in fixed point and floating-point DSP implementation with and understanding of performance, memory, and power optimization techniques.
- Understanding of hardware-software integration and interaction with audio peripherals (ADCs, DACs, I2S/PCM interface).
- Experienced with version control (Git) and modern software development workflows.
Preferred Qualifications
- Hands‑on experience with various DSP architectures (e.g., ARM, Tensilica, etc.) and their associated toolchains.
- Experienced with:
- Multi‑mic processing, AEC, noise reduction, or ANC implementations.
- Automated test frameworks and continuous integration for embedded/DSP projects.
- Have background in communication headsets, earbuds, speakerphones, or similar audio products.
Key Competencies
- Ability to perform system level diagnostics and root cause analysis.
- Structured & systematic approach in testing, troubleshooting, data analysis, and documenting work.
- Strong implementation‑ and detail‑oriented mindset with focus on robustness and reproducibility.
- Ability to collaborate effectively with cross‑functional, international teams.
- Good verbal and written communication skills in English.
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