Job description

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 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 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. Preferred Qualifications: • Master's Degree in Engineering, Information Systems, Computer Science or related field. • 2+ 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 ability to iterate on prompts and validate outputs against real code and requirements. • Familiarity with mainstream AI coding assistants (e.g., GitHub Copilot / Microsoft Copilot ) applied to practical engineering tasks such as code comprehension, change drafting, test scaffolding ideas, and documentation—while maintaining strong review and correctness discipline. • Ability to create and share repeatable prompt patterns/templates for common engineering workflows and continuously refine prompts to increase specificity and accuracy. • Experience with low-power / always-on audio and power-state transitions (e.g., Modern Standby constraints and wake/trigger flows). • Familiarity with on-device voice activation building blocks and staged verification concepts (e.g., multi-stage keyword/wake approaches). • Experience optimizing workloads across heterogeneous compute ( CPU + DSP + NPU ) and understanding tradeoffs across latency vs. power vs. quality . • Exposure to Voice AI pipelines: ASR/TTS, speech translation, transcription, streaming/buffering strategies, and real-time constraints. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits : $99,500.00 - $149,300.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link . If you would like more information about this role, please contact Qualcomm Careers .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Engineering Group, Engineering Group > Software Engineering
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 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.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Nice-to-haves

Master's Degree in Engineering, Information Systems, Computer Science or related field.
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.
Ability to create and share repeatable prompt patterns/templates for common engineering workflows and continuously refine prompts to increase specificity and accuracy.
Experience with low-power / always-on audio and power-state transitions (e.g., Modern Standby constraints and wake/trigger flows).
Familiarity with on-device voice activation building blocks and staged verification concepts (e.g., multi-stage keyword/wake approaches).
Experience optimizing workloads across heterogeneous compute ( CPU + DSP + NPU ) and understanding tradeoffs across latency vs. power vs. quality .

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