Windows Audio Software Engineer; Voice AI — Engineer, Senior

Position: #Windows Audio Software Engineer (Voice AI) — Engineer, Senior
Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group  Software Engineering General

Summary:

** This position is not eligible for Qualcomm immigration sponsorship.
** Qualcomm is a world-leading provider of mobile, computing, XR, automotive, and IoT SoCs and software technologies. Our Snapdragon platforms deliver highly integrated CPU/DSP/NPU capabilities that enable premium on-device experiences with industry-leading power efficiency.

As a member of Qualcomm’s Windows Audio Software team, you will design and build next-generation on-device Voice AI capabilities on Windows-on-Snapdragon platforms—spanning low-power “always-on” sensing through interactive speech experiences. You will collaborate with cross-functional teams (hardware, DSP, systems, ML, and product) and work with global stakeholders across regions and sites to deliver robust, production-ready solutions.

Responsibilities Own feature development end-to-end for Voice AI capabilities on Windows, including wake-on-voice , on-device ASR , translation , transcription , and TTS .Gather and refine technical requirements with internal and external partners; translate product goals into clear engineering requirements, architecture, and  and implement Windows audio + driver stack solutions that leverage Qualcomm SoC CPU/DSP/NPU capabilities while meeting strict latency and power targets for Voice AI experiences.

Build or extend components across user-mode and kernel-mode boundaries ( UMDF/KMDF ), integrating with Windows audio frameworks and platform services as needed for Voice AI pipelines.

Drive low-power audio architecture for “always-on” use cases, including concurrency and power-mode transitions across multiple audio features.

Optimize and validate performance using Windows diagnostics and systematically debug complex multi-threaded and multi-processor issues across HW/SW boundaries.

Communicate development status, risks, and mitigations to technical leads and stakeholders.

Participate in roadmap planning and execution; contribute to process improvements that increase quality, scalability, and maintainability.

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

ORPhD in Engineering, Information Systems, Computer Science, or related field.
2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Preferred Qualifications:

Master's Degree in Engineering, Information Systems, Computer Science or related field.
3+ years of industry experience in software engineering, with a focus in one or more of the following areas:
Windows system software , device drivers, multimedia/audio, platform software, or performance/power-sensitive products.

Proficiency in systems programming (C/C++ preferred) and ability to deliver production-quality code in complex codebases.

Strong Windows development skills using Visual Studio , source control (Git-based workflows), and disciplined debugging practices.

Solid understanding of Windows OS fundamentals relevant to system-level development: processes/threads, synchronization primitives, memory, I/O, and performance diagnostics.

Experience developing or integrating Windows drivers using KMDF and/or UMDF , including build, deployment, and debugging fundamentals.

Hands-on experience with multi-threaded programming, concurrency control, and performance/latency tuning.

Proven ability to work cross-functionally and communicate effectively with distributed teams across regions/time zones.

Windows audio ecosystem experience (any of the following): audio drivers, audio endpoints, WASAPI, audio effects/APOs, audio policy, power-aware audio scenarios, or end-to-end audio pipeline integration.

Demonstrated experience using AI-assisted development tools to improve productivity across the software lifecycle (requirements/architecture, implementation, debugging, testing, and documentation), with the…