This role pays more than
67%
of similar roles. Most pay
$179,312–$244,500
— the shaded band above.
At the midpoint, this role pays about
$224k
versus about
$212k
for comparable roles.
Based on 240 similar postings.
Employer
About Qualcomm
Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.
Qualcomm currently has
623 open roles
on FindRole.
Listed pay typically runs
$148,300–$222,500
across 603 roles with salary data.
Staff Product Manager, AI Product Management - Data Center Business Unit joins the Data Center Business Unit to shape the future of AI-driven data center solutions. This role involves driving product definition and execution for AI-centric platforms and infrastructure components, including accelerators, software, and rack-scale systems. You will gather market requirements, partner with silicon architects, hardware, firmware, and software teams to translate customer needs into technical specifications, and manage system-level planning across compute, memory, networking, power, and cooling. The role requires expertise in AI/ML workloads, large language models, and cloud-scale infrastructure. Key technologies include PCIe, CXL, Ethernet, InfiniBand, UAL, HBM, LPDDR, and various software ecosystems like compilers and optimization toolchains. You will solve complex problems regarding next-generation AI deployments by coordinating cross-functional execution from initial concept through final product launch for hyperscale cloud providers and enterprise customers.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
Drive product definition and execution for AI-centric data center platforms and infrastructure components.
Analyze customer, market, and competitive requirements to identify key product opportunities and priorities.
Translate customer needs into detailed technical specifications with silicon, hardware, firmware, and software teams.
Manage system-level planning for compute, memory, networking, power, cooling, and rack-scale infrastructure.
Engage directly with hyperscale cloud providers and enterprise customers to understand workloads and deployment models.
Coordinate cross-functional execution from initial concept through final product launch.
Develop product positioning, competitive analysis, and go-to-market materials.
Track adoption metrics and market trends to inform future roadmap decisions.
What we're looking for
Bachelor's degree in Engineering, Information Systems, Computer Science, or a related technical field.
5+ years of Product Management or related work experience.
6+ years of product management experience in semiconductors, AI infrastructure, data center systems, networking, or related technology areas (preferred).
Solid understanding of AI accelerators, CPUs, GPUs, memory subsystems, high-speed interconnects, storage technologies, or data center architectures (preferred).
Experience defining product requirements and working with engineering teams throughout the development lifecycle (preferred).
Ability to engage with customers and translate technical requirements into business objectives (preferred).
Familiarity with PCIe, CXL, Ethernet, InfiniBand, UAL, HBM, LPDDR, or large-scale system architectures (preferred).
Experience with AI/ML workloads, large language models, or cloud-scale infrastructure (preferred).
AI Accelerators
TensorFlow
PyTorch
Data Center Systems
Machine Learning Systems
GPU Architecture
PCIe
CXL
UAL
Rack-scale Architecture
Power Management
Interconnect Fabrics
Firmware
LLM
Generative AI
RAG
PyTorch
TensorFlow
vLLM
SGLang
Hugging Face
Ray
Kubernetes
Docker
Cloud-native
Distributed Systems
Quantization
AI Benchmarking
AWS
Custom Silicon
AI Infrastructure
Data Center Systems
Semiconductor Manufacturing
Chiplets
Advanced Packaging
Networking
Memory Technologies
Revenue Planning
Strategic Planning