Senior SoC Performance Architect for Server Workloads

MaC VC; Austin (TX); On-site; USD 209,000 - 314,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks a Senior SoC Performance Architect to lead server CPU workload analysis, performance modeling, and optimization across hardware and software.

You will drive end-to-end performance insights for complex server workloads and guide product decisions. You will collaborate across architecture, design, software, systems, and partners to enable and analyze pre- and post-silicon workloads, build models, perform sensitivity studies, and project performance for internal

Qualifications

• Bachelor's degree with 6+ years of Systems Engineering or related work experience, or
• Master's degree with 5+ years of Systems Engineering or related work experience, or
• PhD with 4+ years of Systems Engineering or related work experience.

Responsibilities

• Drive workload-based performance analysis for server SoCs, focusing on CPU-intensive workloads.
• Enable and characterize complex server workloads on pre-silicon and post-silicon platforms.
• Perform bottleneck analysis across cores, caches, memory hierarchy, fabric, memory controllers and I/O subsystems.
• Build analytical and empirical models for workload behavior and performance scaling.
• Develop performance projections for internal products and competitive external products.
• Conduct sensitivity studies to hardware and software parameters and system configuration.
• Identify optimization opportunities across HW and SW and drive cross-functional plans.

Skills

CPU performance modeling

Performance analysis

System-level workloads

Scripting

Data analysis

Education

Bachelor's degree in Electrical Engineering / Computer Science

Master's degree in Electrical Engineering / Computer Science

PhD in Electrical Engineering / Computer Science

Tools

Performance analysis tools

Job description

Qualcomm Technologies, Inc. seeks a Senior SoC Performance Architect to lead server CPU workload analysis, performance modeling, and optimization across hardware and software.

You will drive end-to-end performance insights for complex server workloads and guide product decisions. You will collaborate across architecture, design, software, systems, and partners to enable and analyze pre- and post-silicon workloads, build models, perform sensitivity studies, and project performance for internal