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All Cities, Idaho, United States of America, United States of America
Onsite
Description -
This role is responsible for defining and delivering end‑to‑end Voice AI solutions on edge devices, supporting the company’s business strategy and product objectives. The role leads the development of on‑device speech and audio intelligence, including Speech‑to‑Text (STT), Text‑to‑Speech (TTS), Wake Word, speaker diarization, and advanced audio processing pipelines.
The position drives innovative, low‑latency, privacy‑preserving Voice AI capabilities optimized for constrained edge environments, combining software architecture, embedded systems, and audio hardware integration. The role emphasizes software excellence, AI performance, and operational rigor, using Agile and Lean practices to deliver market‑differentiated, scalable solutions.
In addition, the role manages the departmental budget, defines goals and KPIs, and is responsible for performance management, mentorship, and growth of direct reports.
Responsibilities:
Voice AI & Edge Technology Leadership
Leads the architecture, design, and deployment of Voice AI capabilities on edge devices, including STT, TTS, Wake Word detection, speaker diarization, and voice command pipelines.
Drives end‑to‑end audio signal chains, from microphone input through hardware drivers, DSP, AI inference, and application‑level consumption.
Owns latency, accuracy, robustness, and power efficiency targets for on‑device speech and audio systems.
Defines and executes technology roadmaps for edge AI, speech models, and audio platforms aligned with business goals and product strategy.
Converts business concepts and product requirements into production‑ready Voice AI solutions, delivering MVPs using adaptive Agile methodologies.
Audio Systems & Hardware Integration
Implements audio hardware integration, including microphone arrays, codecs, amplifiers, beamforming hardware, and acoustic design alignment.
Drives audio fine‑tuning and calibration, including gain staging, AEC, noise suppression, echo cancellation, and far‑field optimization.
Collaborates with hardware, silicon, and firmware teams to ensure co‑design of audio HW, DSP, and AI workloads.
AI Model Development & Optimization
Leads on‑device ML model integration for edge constraints.
Works in partnership with AI Labs to ensure high‑quality evaluation and tuning of speech accuracy, word error rate (WER), diarization accuracy, and wake word false accept/reject rates.
Establishes standards and tooling for continuous model evaluation, deployment, and rollback on edge platforms.
Platform, Security & Operations
Designs and builds secure, scalable Voice AI platforms, ensuring protection of user data with on‑device processing and privacy‑by‑design principles.
Defines and automates build, test, validation, and deployment pipelines for embedded and edge AI software.
Leads standards, reference architectures, and best practices across embedded voice platforms.
Ensures compliance with security, safety, and regulatory requirements for audio and AI systems.
Education & Experience Recommended:
Bachelor’s or Graduate degree in Computer Science, Electrical Engineering, Software Engineering, Machine Learning, Signal Processing, or a related discipline, or equivalent demonstrated experience.
Typically 10+ years of experience in software engineering, embedded systems, audio processing, or platform architecture.
Proven experience delivering production Voice AI or audio systems, preferably on constrained or embedded devices.
Preferred Certifications
Programming Language certifications (C++, Python, Java, or similar)
Embedded systems, ML, or cloud/edge architecture certifications (preferred but not required)
Knowledge & Skills:
Voice AI & Audio
Speech‑to‑Text (STT), Text‑to‑Speech (TTS)
Wake Word detection and speaker diarization
Audio signal processing, DSP concepts
Acoustic echo cancellation (AEC), noise suppression, beamforming
Audio enhancement and tuning for far‑field scenarios
Edge & Embedded Systems
C#, C++ and Python
ARM architectures and hardware acceleration
Performance, memory, and power optimization
AI & Platform Engineering
On‑device ML inference and optimization
Model quantization and deployment pipelines
APIs and microservices where applicable
DevOps, CI/CD, automation
Cloud & Tooling (Supporting)
SQL and data pipelines for evaluation and telemetry
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (United States of America)Travel -
Relocation -
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.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"