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About the Role

We are seeking a SoC Performance Architect to lead server CPU workload analysis, performance modeling, competitive projection, and optimization across hardware and software. This role focuses on end-to-end system performance for complex server workloads, identifying bottlenecks across the compute stack, and driving actionable improvements in CPU, memory, interconnect, I/O, firmware, OS, compiler, and application behavior. The ideal candidate combines deep architectural expertise with analytical rigor and hands-on performance debugging experience. In this role, you will collaborate across architecture, design, software, systems, and partner teams to evaluate current and future SoC products, generate performance insights, and inform product and feature decisions. You will enable and analyze complex server workloads on internal platforms, build analytical and empirical models, conduct sensitivity studies, and project performance for internal and external competitive products.

Responsibilities

Define performance methodologies, metrics, and KPI frameworks for consistent workload tracking and feature evaluation.
Conduct hardware/software sensitivity studies.
Perform bottleneck analysis across CPU cores, cache hierarchy, memory subsystem/controllers, on-chip fabric, and I/O.
Use profiling and PMU tools to capture hotspots, call stacks, CPI breakdowns, memory behavior, and microarchitectural stall data.
Build analytical and empirical models for workload behavior, scaling, and feature sensitivity.
Develop performance projections for internal roadmap products and external competitors.
Identify and prioritize optimization opportunities; drive cross-functional execution with architecture, design, compiler, OS, firmware, and application teams.
Communicate findings, tradeoffs, and product implications to technical and executive stakeholders.

Requirements

PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field
Deep understanding of CPU microarchitecture, including pipelines, out-of-order execution, branch prediction, caches, prefetching, SMT, and performance bottlenecks.
Strong knowledge of SoC architecture, including on-chip interconnect/fabric, memory controllers, DRAM systems, coherency, and I/O subsystems.
Strong understanding of OS and compiler behavior, including scheduling, memory management, synchronization, code generation, optimization, and runtime effects on performance.
Hands-on experience with industry-standard performance analysis and profiling tools.
Experience enabling and debugging complex server workloads in Linux environments.
Strong 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.
Familiarity with PMU-based top-down analysis, CPI decomposition, memory subsystem analysis, and sensitivity modeling.
Bachelor's degree in Electrical Engineering, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Master's degree in Electrical Engineering, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
PhD in Electrical Engineering, Computer Science, or related field.
2+ years of experience in one or more system architecture technology areas and products (e.g., Power System, Shared Resource Management, Limits/Thermal Management, Hardware Islands).

Skills

SoC Performance Architecture
Server CPU workload analysis
Performance modeling
Competitive projection
Hardware and software optimization
End-to-end system performance
Bottleneck identification
CPU microarchitecture
SoC architecture
OS and compiler behavior
Performance analysis tools
Profiling tools
Scripting
Data analysis
Pre-silicon performance modeling
Simulation
Trace-based analysis
PMU-based top-down analysis
CPI decomposition
Memory subsystem analysis
Sensitivity modeling

Location

Qualcomm

Work Type

Full-time

Experience Level

Early Career
PhD New Grads
2+ years of experience
1+ year of experience

Education Level

PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field
Bachelor's degree in Electrical Engineering, Computer Science, or related field
Master's degree in Electrical Engineering, Computer Science, or related field

Salary/Compensations

$142,200.00 - $213,200.00

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

About the Company

Qualcomm Technologies, Inc. is an equal opportunity employer.

Equal Opportunity

Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm is committed to providing an accessible process for individuals with disabilities.
Qualcomm is also committed to making our workplace accessible for individuals with disabilities.