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Fabric Performance Architect Jobs (NOW HIRING)

Senior SoC Performance Architect

Santa Clara, CA · On-site +1

$196K/yr

Perform detailed bottleneck analysis across CPU cores, caches, memory hierarchy, on-chip fabric ... performance bottlenecks. * Strong knowledge of SoC-level architecture, including on-chip fabric ...

Performance Architect, AI HW

Santa Clara, CA · On-site +1

$100K - $500K/yr

The Tensix team is building the high-performance compute fabric that powers Tenstorrent's AI and ML workloads. As an AI Performance Architect, you will model, analyze, and optimize how real AI ...

The Tensix team is building the high-performance compute fabric that powers Tenstorrent's AI and ML workloads. As an AI Performance Architect, you will model, analyze, and optimize how real AI ...

Performance Architecture

Austin, TX · On-site

$165K/yr

We focus on software-driven, unified fabric solutions for single-die and multi-die systems. We ... Hands on Performance Architecture, Performance Modeling, Performance Engineering Onsite Locations ...

Real Workload Analysis & Fabric Scalability * Run end-to-end inference model workloads on target hardware to capture real-world performance beyond synthetic benchmarks, supporting architecture ...

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Fabric Performance Architect information

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$156.5K

$168K

How much do fabric performance architect jobs pay per year?

As of Sep 9, 2026, the average yearly pay for fabric performance architect in the United States is $167,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a fabric performance architect?

A Fabric Performance Architect is a specialized professional who designs, analyzes, and optimizes the performance of network fabrics, often in data centers or enterprise environments. Their work involves ensuring that network infrastructure, such as switches, routers, and interconnects, operate efficiently, reliably, and at high speeds to support business applications. They collaborate with engineering teams to troubleshoot issues, implement best practices, and plan for future scalability. This role often requires a deep understanding of networking protocols, hardware, and performance tuning.

How does a fabric performance architect typically collaborate with hardware and software engineering teams to optimize system performance?

A Fabric Performance Architect works closely with both hardware and software engineering teams to ensure that the system's interconnect architecture meets performance goals. This often involves analyzing performance bottlenecks, recommending architectural improvements, and validating design changes through simulation and benchmarking. Regular cross-functional meetings are common, where architects communicate technical requirements and findings to engineers and guide them on best practices. The role requires strong communication skills and the ability to translate complex performance data into actionable insights for various stakeholders.

What are the key skills and qualifications needed to thrive as a fabric performance architect, and why are they important?

To thrive as a Fabric Performance Architect, you need a strong background in computer networks, systems architecture, and performance analysis, often supported by a degree in computer science or engineering. Familiarity with network simulation tools, performance monitoring systems, and protocols like Ethernet, InfiniBand, or Fibre Channel is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating technical findings into actionable improvements. These competencies ensure the design and optimization of high-performing, reliable network fabrics that support critical business operations.

What are popular job titles related to Fabric Performance Architect jobs?

For Fabric Performance Architect jobs, the most frequently searched job titles are:

Senior SoC Performance Architect

Santa Clara, CA • On-site, Remote

Qualcomm
Technology, Communication and Media • 10K+ employees

$196K/yr

Full-time

Re-posted 23 days ago


Key responsibilities

  • Drive workload-based performance analysis for server SoCs, with emphasis 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, memory controllers, and I/O subsystems.


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > SoC Architecture
General Summary:
We are seeking a Senior SoC Performance Architect to lead server CPU workload analysis, performance modeling, competitive projection, and optimization across both hardware and software. This role is focused on understanding end-to-end system performance for complex server workloads, identifying bottlenecks across the compute stack, and driving actionable improvements in CPU, memory, fabric, I/O, firmware, OS, compiler, and application behavior. The ideal candidate combines deep architectural knowledge with strong analytical rigor and hands-on performance debugging experience.
In this role, you will work across architecture, design, software, systems, and partner organizations to evaluate current and future SoC products, build performance insights, and guide product and feature decisions. You will be expected to enable and analyze complex server workloads on internal platforms, develop analytical and empirical performance models, perform sensitivity studies, and project performance for both internal designs and external competitive products.
Key Responsibilities
  • Drive workload-based performance analysis for server SoCs, with emphasis 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, memory controllers, 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 to hardware and software parameters such as frequency, cache size, memory latency/bandwidth, prefetch behavior, SMT, compiler options, scheduling, and system configuration.

  • Identify optimization opportunities across both hardware and software, and drive recommendations to architecture, design, compiler, OS, firmware, and application teams.

  • Partner closely with hardware and software organizations to root-cause performance gaps and drive cross-functional optimization plans.

  • Define methodologies, metrics, and KPI frameworks for workload analysis, performance tracking, and feature evaluation.

  • Use profiling and performance monitoring tools to collect PMU data, hotspot profiles, call stacks, CPI breakdowns, memory behavior, and microarchitectural stall analysis.

  • Summarize findings for technical and executive audiences, including architecture tradeoffs, product implications, and competitive positioning.

Qualifications
  • PhD in Computer Engineering, Electrical Engineering, Computer Science, or related field, with 5+ years of industry experience in CPU performance modeling and analysis.

  • Deep understanding of CPU microarchitecture, including pipelines, OoO execution, branch prediction, caches, prefetching, SMT, and performance bottlenecks.

  • Strong knowledge of SoC-level architecture, including on-chip fabric/interconnect, memory controllers, DRAM systems, coherency, and I/O subsystems.

  • Deep understanding of operating systems and compilers, including scheduling, memory management, synchronization, code generation, optimization behavior, and runtime effects on performance.

  • Hands-on experience with industry standard performance analysis tools.

  • Strong experience in workload analysis, performance characterization, modeling, projection, and optimization for server-class systems.

  • Experience enabling 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.

  • Demonstrated ability to work across organizational boundaries and influence both hardware and software roadmaps through data-driven analysis.

Preferred Qualifications
  • Experience with pre-silicon performance modeling, simulation, or trace-based analysis.

  • Experience with server workloads spanning cloud, enterprise, data analytics, web, database, virtualization, and AI infrastructure.

  • Experience with competitive performance analysis and product projection methodologies.

  • Familiarity with PMU-based top-down analysis, CPI decomposition, memory subsystem analysis, and sensitivity modeling.

  • Experience working with firmware, BIOS, power/performance tuning, and system configuration controls.

  • Experience presenting architectural recommendations to senior technical leadership.

What You Will Deliver
  • Deep workload characterization of internal and competitive server platforms.

  • Performance models and projections for current and future SoC products.

  • Clear bottleneck analysis and optimization guidance across HW and SW.

  • Sensitivity studies that quantify the impact of key architectural and software parameters.

  • Data-driven recommendations to improve product performance, efficiency, and competitiveness.

Minimum Qualifications:
• Bachelor's degree in Electrical Engineering, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Electrical Engineering, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Electrical Engineering, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
• 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).
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: 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 expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$198,600.00 - $297,800.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985