Datacenter Compute SoC Performance Modeling Engineer at International Recruiting LLC

Position Datacenter Compute SoC Performance Modeling Engineer
Posted 06 Aug 2026
Expired 05 Sep 2026
Company International Recruiting LLC
Location United States | US
Job Type Full Time

Job Description:

Latest job information from International Recruiting LLC for the position of Datacenter Compute SoC Performance Modeling Engineer. If the Datacenter Compute SoC Performance Modeling Engineer vacancy in United States matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at International Recruiting LLC for the position of Datacenter Compute SoC Performance Modeling Engineer below matches your qualifications.

Category: Algorithm & Architecture Primary Location: San Jose, California Additional Locations: San Diego, California; Portland, Oregon; Austin, Texas Experience Level: 5+ years of relevant industry experience

About the Team

The company’s Data Center team is at the forefront of innovation, developing cutting-edge technologies that power the world’s most advanced data centers.

Our team brings together system architects, advanced packaging technology developers, and SoC design experts dedicated to creating high-performance, power-efficient, scalable, and reliable solutions for data center applications.

We collaborate closely across technical disciplines to push the boundaries of compute technology and shape the future of cloud computing, hyperscale infrastructure, and AI data centers.

Role Summary

The company is seeking a highly skilled Datacenter Compute SoC Performance Modeling Engineer to help define and optimize our next-generation cloud and data center processors.

In this role, you will develop and maintain high-speed, cycle-accurate, and transaction-level architectural simulators used to evaluate design trade-offs, identify performance bottlenecks, and project system performance across a broad range of data center workloads.

You will work closely with CPU and compute-core architects, SoC architects, IP architects, workload characterization teams, and RTL designers to ensure that our silicon delivers industry-leading performance per watt and scales efficiently for modern hyperscale infrastructure.

Key Responsibilities

Performance Simulator Development

• Design, develop, and maintain cycle-accurate and transaction-level performance models using C++ and SystemC.

• Model key components of multi-core data center SoCs, including:

o CPU and compute cores

o Cache and memory subsystems

o Network-on-Chip interconnects

o High-speed I/O interfaces

o PCIe and CXL subsystems

• Improve simulator speed, scalability, accuracy, and maintainability.

Workload Analysis and Profiling

• Analyze and characterize modern data center workloads, including:

o Cloud-native applications

o Microservices

o Databases

o Big data analytics

o Virtualized workloads

o AI and machine-learning data-processing pipelines

• Translate workload behavior into architectural requirements and performance targets.

Architectural Performance Exploration

• Conduct what-if analyses and large-scale architectural design sweeps.

• Evaluate trade-offs involving:

o Core counts

o Cache sizes and configurations

o Memory capacity and bandwidth

o Memory and interconnect latency

o NoC topology

o High-speed I/O performance

o Multi-die system configurations

• Recommend architectural configurations that optimize performance, power efficiency, and scalability.

Performance Bottleneck Identification

• Identify microarchitectural and system-level performance bottlenecks.

• Analyze limitations related to compute throughput, cache behavior, memory bandwidth, latency, coherency traffic, and interconnect congestion.

• Propose innovative hardware and software solutions to address identified bottlenecks.

RTL and Silicon Correlation

• Collaborate with RTL verification, emulation, and post-silicon validation teams.

• Correlate performance models against:

o RTL simulations

o Hardware emulators

o FPGA prototypes

o Post-silicon measurements

• Refine model behavior and assumptions to maintain a high level of accuracy.

Performance Tooling and Infrastructure

• Develop and enhance performance analysis tools and infrastructure.

• Build:

o Trace collection and analysis tools

o Data visualization dashboards

o Automated performance regression pipelines

o Reporting and comparison frameworks

• Use Python and related data-analysis libraries to automate performance analysis and improve engineering productivity.

Cross-Functional Collaboration

• Partner with CPU, SoC, memory, interconnect, I/O, software, and firmware teams.

• Present complex performance results and architectural trade-offs to technical teams and leadership.

• Contribute to architectural specifications, design reviews, and technology roadmap decisions.

Qualifications

Education

Bachelor’s or Master’s degree in one of the following fields:

• Computer Engineering

• Electrical Engineering

• Computer Science

• A related technical discipline

Professional Experience

• 5+ years of relevant industry experience in:

o CPU performance modeling

o Compute-core performance modeling

o SoC performance modeling

o System-level performance modeling

o Computer architecture analysis

Data Center Workload Experience

Experience profiling or analyzing hyperscale and data center workloads, such as:

• SPEC CPU

• Cloud microservices

• Databases

• Big data analytics

• Virtualized environments

• Server and cloud infrastructure workloads

• AI and machine-learning data-processing workloads

Required Technical Expertise

Programming and Software Development

• Expert-level proficiency in modern C++, preferably C++14, C++17, or later.

• Strong understanding of object-oriented software design.

• Experience developing large-scale, modular, and maintainable simulation software.

• Strong scripting skills in Python or Perl for automation, data analysis, and performance reporting.

CPU and Compute Architecture

• Deep understanding of high-performance CPU microarchitecture, including:

o Out-of-order execution

o Branch prediction

o Instruction scheduling

o Pipeline behavior

o Speculative execution

o Memory-level parallelism

• Alternatively, strong understanding of advanced computation engines, such as:

o Processing-element arrays

o Graph-based compute architectures

o Domain-specific accelerators

o Parallel compute engines

Memory and Cache Architecture

• Comprehensive knowledge of:

o Memory hierarchies

o Cache architectures

o Cache coherency protocols

o Memory bandwidth and latency behavior

• Familiarity with coherency protocols such as:

o MESI

o MOESI

• Experience with main memory technologies, including:

o DDR

o LPDDR5 and LPDDR6

o HBM

Interconnects and High-Speed I/O

• Familiarity with on-chip interconnect protocols and architectures, including:

o AMBA CHI

o AXI

o Network-on-Chip architectures

• Understanding of high-speed I/O protocols, including:

o PCIe

o CXL

• Knowledge of multi-die and chiplet architectures, including:

o UCIe

o Die-to-die interconnects

Performance Modeling Frameworks

Hands-on experience with one or more of the following:

• gem5

• Sniper

• SystemC-based modeling environments

• Trace-driven simulators

• Execution-driven simulators

• Proprietary performance simulation frameworks

• Building architectural simulators from the ground up

Communication Skills

• Ability to clearly communicate complex performance data and architectural trade-offs.

• Strong written and verbal presentation skills.

• Ability to work effectively with cross-functional engineering teams and senior technical leadership.

Work Locations

This position is open in the following locations:

• San Jose, California

• San Diego, California

• Portland, Oregon

• Austin, Texas

Compensation

The base salary range for this position is:

$211,000–$356,000 per year

Employees may also be eligible for:

• Performance-based bonuses

• Short-term incentive programs

• Long-term incentive programs

Actual total compensation will depend on the individual’s skills, relevant experience, qualifications, and work location.

Benefits

The company provides a comprehensive benefits package that may include:

• Comprehensive health insurance coverage

• Life insurance

• Disability insurance

• Retirement savings plan

• 401(k)

• Company-paid holidays

• Paid sick leave

• Paid vacation

• Parental leave

• Additional employee benefits and incentive programs

Equal Employment Opportunity

The company is an Equal Opportunity Employer committed to inclusion and diversity.

Employment decisions are made without regard to age, ancestry, color, physical or mental disability, family or medical leave status, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or

Job Info:

  • Company: International Recruiting LLC
  • Position: Datacenter Compute SoC Performance Modeling Engineer
  • Work Location: United States
  • Country: US

How to Submit an Application:

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