Senior Director, GPU Platform & AI Strategy

QUALCOMM, Inc.; San Diego, Northern (CA, KY); Hybrid; USD 238,000 - 357,000; Full time

Job summary

Qualcomm, Inc. seeks a visionary product leader for end-to-end GPU platform strategy spanning datacenter, edge, and mobile.

You will drive AI acceleration capabilities and work with cross-functional teams across architecture, hardware, software, and ecosystem partners to shape multi-year roadmaps and platform features. The role emphasizes collaboration with AI/CPU/system teams to enable robust tooling, deployment, and market readiness for heterogeneous computing environments.

Qualifications

• 10+ years in Product Management or related field.
• Advanced degrees may substitute for up to two years of experience.
• Experience in GPU, compute platforms, graphics, AI acceleration, or related semiconductors.
• Direct experience with AI frameworks (TensorFlow, PyTorch) and accelerators.

Responsibilities

• Own end-to-end GPU platform product strategy and lifecycle for datacenter, edge, and mobile.
• Drive development of AI acceleration and power-efficient system integration.
• Collaborate with architecture, hardware, software, tools, and ecosystem teams to align requirements and go-to-market plans.
• Define multi-year GPU technology roadmaps for AI-centric data center platforms and rack-level systems.
• Engage developers, ISVs, OEMs, and strategic partners to enable tooling and software support.

Skills

GPU Platform Mgmt

AI acceleration

Heterogeneous computing

Cross-functional leadership

System-level knowledge

Education

Bachelor's degree in Engineering/CS/IS

Tools

PCIe

CXL

Interconnect fabrics

Job description

Qualcomm, Inc. seeks a visionary product leader for end-to-end GPU platform strategy spanning datacenter, edge, and mobile.

You will drive AI acceleration capabilities and work with cross-functional teams across architecture, hardware, software, and ecosystem partners to shape multi-year roadmaps and platform features. The role emphasizes collaboration with AI/CPU/system teams to enable robust tooling, deployment, and market readiness for heterogeneous computing environments.