Embedded Audio Engineer

Description -

Job Summary
Join our Taiwan firmware team supporting the development, execution, and delivery of Poly Video devices. In this role, you will develop Android/Linux-based embedded software, identify and resolve complex technical issues, and collaborate closely with global product stakeholders, firmware and hardware teams, and Taiwan-based ODM partners to bring high-quality video products to market.

You will take full ownership of the embedded audio software pipeline from raw multi-channel microphone capture up to the final speaker output. You will design, build, and optimize embedded software architectures that handle complex voice configurations, ensuring our software algorithms are perfectly aligned with our physical hardware components to achieve pristine, low-latency communication.

Responsibilities
• Design and develop innovative firmware for Android- and/or Linux-based video conferencing devices.

• Partner closely with Taiwan ODMs and global product stakeholders to support technical execution, issue resolution, new product development, and successful product delivery.

• Algorithm Optimization & Tuning: Implement, tune, and optimize advanced audio processing algorithms, including Acoustic Echo Cancellation (AEC), multi-microphone beamforming, Sound

• Source Localization (SSL), noise suppression, dereverberation, and Automatic Gain Control (AGC).

• Multi-Channel Audio Architecture: Design and manage low-latency embedded audio pipelines to cleanly handle multi-channel inputs and synchronized outputs (e.g., combining 8-microphone array inputs across separate ADCs via ALSA/Linux layers).

• Hardware-Software Co-Design: Collaborate intensely with the Austin onsite hardware team to calibrate software processing parameters based on actual physical transducer responses, coordinate mappings, and structural room acoustics.

• Android/Embedded Linux Platforms: Extend and enrich embedded subsystems by developing unique audio capabilities within the Android Media Framework, Linux audio layers, and real-time DSP environments.

• Next-Gen Audio AI Integration: Prototype, experiment, and integrate emerging machine learning and audio AI technologies for modern speech enhancement, speaker/talker detection, and dynamic noise classification.

• • Automated Validation Frameworks: Build robust audio software test infrastructure, automated parsing scripts, and continuous integration pipelines using Python or MATLAB to validate real-time digital signal processing outputs.

• Ecosystem Certifications: Drive the software side of automated audio validation suites to pass strict third-party certification requirements (such as Microsoft Teams Rooms V5 and Zoom) under realistic meeting space conditions.

• Technical Leadership: Act as a software mentor to junior developers and test engineers, enforcing high code quality, multi-threaded safety standards, and robust system documentation.

• Networked Audio & Synchronization: Design, deploy, and maintain broadcast-grade networked audio configurations, implementing native AES67 / RTP streaming pipelines and ensuring strict sub-microsecond clock synchronization utilizing PTPv2 (IEEE 1588-2008) protocols over Local Area Networks (LAN).

• Custom Linux Distribution Development: Architect, build, and optimize custom embedded operating system images using the Yocto Project compilation framework. Create custom layers, write bitbake recipes, modify device trees, and configure kernel parameters for deterministic, real-time performance.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Systems, Electrical Engineering, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 4-7 years of work experience, preferably in firmware development, or a related field or an advanced degree with 3-5 years of work experience.
• Hands-on experience configuring, profiling, and debugging embedded audio frameworks within Linux (ALSA) or the Android Media Framework.

• Proficiency with Python, MATLAB, or similar engineering tools to analyze recorded multi-channel audio data and build simulation profiles.

• Familiarity with common digital audio interfaces (I2S, TDM, PDM, USB Audio) and interaction with external hardware components like premium ADCs, DACs, and amplifiers.

Knowledge & Skills
•Experience with low-latency networked audio systems and synchronization protocols (e.g., PTP, RTP, AES67).

•Direct experience writing or modifying real-time DSP firmware (e.g., Texas Instruments, Qualcomm, ARM Neon assembly/intrinsics, or dedicated audio DSPs).

•Familiarity with training or deploying lightweight AI/ML models on embedded edge accelerators for real-time speech enhancement.

•A proven portfolio of shipped commercial audio products (such as speakerphones, soundbars, or enterprise video endpoints).

•Audio DSP Software: Multi-microphone processing, beamforming arrays, double-talk AEC optimization, speech enhancement, spatial audio, and intelligent noise gating.

•Embedded Systems: Real-time C/C++, multi-threaded programming, Linux/Android audio drivers, software application testing, and memory optimization.

•Tools: Python, MATLAB, Wireshark/network audio parsers, JTAG debuggers, and automated CI test infrastructure.

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

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Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

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