below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$193,300–$257,100
— the blue band above.
At the midpoint, this role pays about
$227k
versus about
$225k
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
575 open roles
on FindRole.
Listed pay typically runs
$147,900–$221,900
across 550 roles with salary data.
The Staff Product Manager, AI Product Management - Data Center Business Unit joins the Operations Group to shape AI-driven data center solutions. This role involves driving product definition and execution for AI-centric platforms, including accelerators, software, and rack-scale systems. You will gather market requirements, partner with silicon architects, hardware, and firmware teams to translate customer needs into detailed specifications, and support system-level planning for compute, memory, networking, power, and cooling. Key technical competencies include knowledge of AI accelerators, CPUs, GPUs, memory subsystems, high-speed interconnects, storage technologies, and large-scale system architectures. You will work with technologies such as PCIe, CXL, Ethernet, InfiniBand, UAL, HBM, and LPDDR. The role solves complex infrastructure problems for hyperscale cloud providers and enterprise customers involving AI/ML workloads and large language models.
What does a Product Manager earn in California?
Median $222500 from 327 postings across 57 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 product requirements and specifications with silicon, hardware, and software teams.
Support system-level planning across 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 product adoption and market trends to drive 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 closely with engineering teams throughout the product development lifecycle (preferred).
Experience with AI/ML workloads, large language models, or cloud-scale infrastructure (preferred).
Experience working with hyperscale cloud providers, OEMs, or strategic technology partners (preferred).
Familiarity with technologies such as PCIe, CXL, Ethernet, InfiniBand, UAL, HBM, LPDDR, or large-scale system architectures (preferred).
Remote (San Diego, CA)40 days ago
$237,800–$356,800
AI Frameworks
TensorFlow
PyTorch
GPU Architecture
PCIe
CXL
UAL
Machine Learning Systems
Data Center Systems
Rack-scale Orchestration
Interconnect Fabrics
Power Delivery
Compilers
Optimization Toolchains
Generative AI
LLM
RAG
PyTorch
TensorFlow
vLLM
SGLang
Hugging Face
Ray
Kubernetes
Docker
Cloud-native
Distributed Systems
Quantization
AI Inference
Benchmarking
Custom Silicon
AI Infrastructure
Data Center Systems
Semiconductor Manufacturing
Chiplets
Advanced Packaging
Networking
Compute
Memory Technologies
Business Case Development
Solution Strategy