Windows Audio Software Engineer; Voice AI — Engineer, Senior

General Summary

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.

This position is not eligible for Qualcomm immigration sponsorship.

• 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 milestones.
• Co‑design 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 hardware/software 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.

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with programming languages such as C, C++, Java, Python, etc.

• 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 (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).
• Familiarity with mainstream AI coding assistants (e.g., Git Hub Copilot / Microsoft Copilot) applied to practical engineering…