below marketmost similar roles pay hereabove market
This role pays more than
78%
of similar roles. Most pay
$196,750–$256,950
— the blue band above.
At the midpoint, this role pays about
$262k
versus about
$227k
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 CPU Power and Thermal Management Architect joins the CPU Engineering team to lead the micro-architecture and design of high-performance CPU systems. This role involves conceiving architectures for high-performance and low-power devices, specifically focusing on boot architecture, idle power management, active power management, clock management, and thermal limits. You will collaborate with software, firmware, and SoC architects to develop end-to-end system solutions, including dynamic voltage and frequency scaling, power gating techniques, and control loops for over-current and thermal limits. The position requires deep knowledge of microprocessor architecture, coherent CPU systems, and logic design principles. You will produce high-level specifications for RTL design and perform performance exploration. The work addresses critical power and thermal management challenges across Datacenter Server, Mobile, Compute, and Auto SoCs.
Power Management
Thermal Management
Computer Architecture
Software Performance Analysis
Power Delivery Control
Workload Scheduling
Machine Learning
System Architecture
Computer Architecture
Power Management
Thermal Management
Software Performance Analysis
Power Delivery Control
Workload Scheduling
Machine Learning
System Architecture
Computer Architecture
Power Management
Thermal Management
SoC
Software Performance Analysis
Workload Scheduling
Power Delivery Control
Machine Learning
System Architecture
Power Management
Thermal Management
Computer Architecture
Software Performance Analysis
Workload Scheduling
Power Delivery Control
Machine Learning
System Architecture