Audio Product Development Engineer - DSP

Job description

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. # Li-Jabra