Qualcomm
Senior Director, Product Management (Datacenter GPU)
$238K–$357K
San Diego, California +1 · On-site · Director · Full-time · Posted Sep 28, 2026
- Location
- San Diego, California
Santa Clara, California - Experience
- 10+ years of Product Management or related work experience; completed advanced degrees may substitute for up to two years (Master’s = one year, Doctorate = two years). Preferred qualifications also list varying experience thresholds, including 10+ years in relevant industries, 5+ or 10+ years of leadership, 15+ years of industry experience, and 6+ years in a large matrixed organization.
- Education
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
About the job
Leads Qualcomm’s datacenter-focused GPU product strategy and lifecycle, from architecture and roadmap definition through commercialization and ecosystem adoption.
What you'll do
- Own the GPU platform strategy and lifecycle, emphasizing datacenter products.
- Define multi-year roadmaps for AI-centric datacenter and rack-level systems, coordinating compute, networking, and memory subsystems.
- Align engineering, software, ecosystem, and business teams on product requirements, execution, positioning, and go-to-market plans.
What they ask for
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field.
- 10+ years of Product Management or related work experience; advanced degrees may substitute for up to two years (Master’s = one year, Doctorate = two years).
Nice to have
- GPU, compute platform, graphics, AI acceleration, semiconductor, or systems industry experience; leadership experience.
- Experience with AI frameworks, compilers and optimization toolchains, and system-level GPU/datacenter architectures.
Pay
$237,800.00 - $356,800.00 USD (base salary)
Tools
TensorFlow, PyTorch, PCIe, CXL, UAL
AI focus
Defines GPU capabilities and roadmaps for AI acceleration and AI-centric datacenter platforms, including heterogeneous computing and AI/ML workloads.
Model-written summary · the original posting is authoritative