below marketmost similar roles pay hereabove market
This role pays more than
84%
of similar roles. Most pay
$177,675–$235,750
— the blue band above.
At the midpoint, this role pays about
$262k
versus about
$207k
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 Senior SoC Performance Architect joins the SoC Architecture team to lead server CPU workload analysis, performance modeling, and optimization across hardware and software. You will evaluate end-to-end system performance for complex server workloads, identifying bottlenecks across the compute stack including CPU cores, caches, memory hierarchy, on-chip fabric, and I/O subsystems. Daily responsibilities involve building analytical and empirical models, performing sensitivity studies on parameters like frequency and cache size, and developing performance projections for internal and competitive products. You will utilize profiling and performance monitoring tools to collect PMU data, CPI breakdowns, and microarchitectural stall analysis. The role requires deep knowledge of CPU microarchitecture, operating systems, compilers, and DRAM systems to drive cross-functional optimization plans for server-class systems spanning cloud, enterprise, data analytics, and AI infrastructure.
Drive workload-based performance analysis for server SoCs, focusing on CPU-intensive and system-level workloads.
Enable, run, and characterize complex server workloads on pre-silicon and post-silicon platforms.
Perform detailed bottleneck analysis across CPU cores, caches, memory hierarchy, on-chip fabric, and I/O subsystems.
Build analytical and empirical models for workload behavior, performance scaling, and feature sensitivity.
Develop performance projections for internal products and competitive external products.
Conduct sensitivity studies on hardware and software parameters like frequency, cache size, and memory latency.
Identify optimization opportunities across hardware and software and provide recommendations to architecture, compiler, and OS teams.
Use profiling tools to collect PMU data, hotspot profiles, and microarchitectural stall analysis.
What we're looking for
PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field with 5+ years of industry experience in CPU performance modeling and analysis.
Bachelor's degree in Electrical Engineering, Computer Science, or related field with 6+ years of Systems Engineering experience.
Master's degree in Electrical Engineering, Computer Science, or related field with 5+ years of Systems Engineering experience.
2+ years of experience in one or more system architecture technology areas and products.
Deep understanding of CPU microarchitecture, SoC-level architecture, operating systems, and compilers.
Hands-on experience with industry standard performance analysis tools and debugging complex server workloads in Linux-based environments.
Strong analytical, scripting, and data analysis skills for handling large profiling datasets and developing performance models.
Experience with pre-silicon performance modeling, simulation, or trace-based analysis (preferred).
SoC Architecture
System Architecture
AI Accelerators
Generative AI
machine-learning
C++
Python
DRAM
HBM
LPDDR
DDR
GDDR
Ethernet
InfiniBand
RDMA
Hardware/Software Co-design
ISA Design
Microarchitecture
Performance Modeling
Chiplets
RAS
ECC
3D Integration