Job description

Company: Qualcomm Technologies, Inc. Job Area: Operations Group, Operations Group > Product Management General Summary: Qualcomm is looking for a visionary and technically grounded product leader with deep expertise in GPU hardware, heterogeneous compute, and system-level platforms to drive the evolution of the GPU roadmap across emerging workloads in the AI/ML space spanning datacenter, edge and mobile platforms. This is a high-impact leadership role where you will partner closely with world-class engineers, software teams, and ecosystem partners to define and deliver differentiated GPU technologies that scale across multiple end markets, with emphasis on the datacenter. Qualcomm’s teams are redefining performance-per-watt, scalability, and platform integration – enabling developers and partners to build the next generation of intelligent, visual, and compute-intensive experiences. Key Responsibilities: • Lead the Vision: Own the end-to-end GPU platform product strategy and lifecycle—from architectural definition through commercialization with emphasis on the datacenter market segment. • Drive Platform Innovation: Guide the development of next-generation GPU capabilities spanning AI acceleration, and power-efficient system integration. Partner with AI, CPU, and system teams to advance heterogeneous computing and differentiated platform features. • Collaborate Across Teams: Serve as the central product leadership point for GPU platforms, working across architecture, hardware, software, tools, and ecosystem organizations to align requirements, priorities, execution plans, and go-to-market strategies. • Shape the Roadmap: Define and execute multi-year GPU technology strategy and product roadmaps for AI-centric data center platforms and rack level systems spanning compute, networking and memory subsystems. • Champion Ecosystem Adoption: Drive strong engagement with developers, ISVs, OEMs, and strategic partners to ensure robust enablement, tooling, and software support for GPU platforms across diverse workloads. • Partner with business unit leadership to derive crisp product requirements, craft compelling market and competitive positioning, launch plans and go-to-market collateral. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field. • 10+ years of Product Management or related work experience. *Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience. Preferred Qualifications: • 10+ years of experience in GPU, compute platforms, graphics, AI acceleration, or related semiconductor or systems industries. • 5+ years of leadership experience. • 15+ years of industry experience in GPUs, compute platforms, or advanced SoC technologies. • 10+ years of leadership experience. • Direct experience with AI frameworks (TensorFlow, PyTorch), compilers and optimization toolchains. • Deep system-level knowledge of AI accelerators, CPU/GPU architectures, interconnect fabrics (PCIe, CXL, UAL etc), memory hierarchies, storage subsystems, and rack-level system design (power delivery, cooling, cabling, rack orchestration). • Expert knowledge of GPU hardware architecture, datacenter scale systems, heterogeneous system architectures, software stacks, APIs, and AI/ML algorithm and acceleration trends. • 6+ years of working in a large matrixed organization. This is an office-based position located in San Diego or Santa Clara, CA and is expected to comply with the company's onsite work policy. 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 : $237,800.00 - $356,800.00 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.
Operations Group, Operations Group > Product Management
Lead the Vision: Own the end-to-end GPU platform product strategy and lifecycle—from architectural definition through commercialization with emphasis on the datacenter market segment.
Shape the Roadmap: Define and execute multi-year GPU technology strategy and product roadmaps for AI-centric data center platforms and rack level systems spanning compute, networking and memory subsystems.
Champion Ecosystem Adoption: Drive strong engagement with developers, ISVs, OEMs, and strategic partners to ensure robust enablement, tooling, and software support for GPU platforms across diverse workloads.
Partner with business unit leadership to derive crisp product requirements, craft compelling market and competitive positioning, launch plans and go-to-market collateral.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
10+ years of Product Management or related work experience.
Completed advanced degrees in a relevant field may be substituted for up to two years (Master’s = one year, Doctorate = two years) of work experience.
10+ years of experience in GPU, compute platforms, graphics, AI acceleration, or related semiconductor or systems industries.
5+ years of leadership experience.
15+ years of industry experience in GPUs, compute platforms, or advanced SoC technologies.
10+ years of leadership experience.
6+ years of working in a large matrixed organization.

Nice-to-haves

Direct experience with AI frameworks (TensorFlow, PyTorch), compilers and optimization toolchains.
Expert knowledge of GPU hardware architecture, datacenter scale systems, heterogeneous system architectures, software stacks, APIs, and AI/ML algorithm and acceleration trends.
This is an office-based position located in San Diego or Santa Clara, CA and is expected to comply with the company's onsite work policy.
$237,800.00 - $356,800.00
If you would like more information about this role, please contact Qualcomm Careers .

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