Senior Director, Product Management (Datacenter GPU)
Technology, Data & Digital · Product & Design · Product Management
In short
Qualcomm is looking for a visionary and technically grounded Senior Director of Product Management with deep expertise in GPU hardware and AI/ML workloads. This role will define and drive the GPU roadmap across datacenter, edge, and mobile platforms, partnering with engineering, software, and ecosystem partners to deliver differentiated GPU technologies.
Responsibilities
- Own the end-to-end GPU platform product strategy and lifecycle, from architectural definition through commercialization with emphasis on the datacenter market segment.
- 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.
- Serve as the central product leadership point for GPU platforms, working across architecture, hardware, software, tools, and ecosystem organizations.
- Define and execute multi-year GPU technology strategy and product roadmaps for AI-centric data center platforms and rack level systems.
- Drive strong engagement with developers, ISVs, OEMs, and strategic partners to ensure robust enablement, tooling, and software support.
- Partner with business unit leadership to derive crisp product requirements, craft compelling market and competitive positioning, launch plans and go-to-market collateral.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 10+ years of Product Management or related 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.
- 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.
- 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.
Benefits
- Competitive annual discretionary bonus program.
- Opportunity for annual RSU grants.
- Highly competitive benefits package designed to support your success at work, at home, and at play.
Skills
TensorFlowPyTorch
#GPU#datacenter#AI/ML#product management#semiconductor#heterogeneous compute#system-level platforms#software#hardware#architecture
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
2 days ago
Employment Type
Full Time
Work mode
On Site
Salary
US$237,800–356,800 / year
Experience Level
Director
Locations
San Diego, United States of America
Santa Clara, United States of America
Qualification
Bachelor
Applicants
Be an early applicant
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