AI Performance Modeling Architect- CPU/SOC

Actalent; Deutschland; Hybrid; EUR 172.000 - 430.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Zusammenfassung

Actalent is seeking a Performance Modeling Architect to develop and maintain modeling frameworks for evaluating interactions between workloads, software environments, and hardware systems. You will drive co-design efforts and quantify impacts on performance, latency, and energy efficiency across architectures.

The role requires strong computer architecture knowledge and hands-on modeling with Python/C++. You will work across hardware and software domains in a hybrid Raleigh-based setting.

Qualifikationen

• Experience building system-level performance models for AI workloads and compute architectures.
• Proficiency in Python and C++ for modeling and simulation.
• Strong background in computer/system architecture and performance analysis.

Aufgaben

• Develop system-level performance models for AI workloads and compute architectures.
• Build simulation frameworks to capture interactions between AI models, runtimes, and hardware.
• Model SoC components including compute units, memory hierarchies, and interconnects.
• Incorporate software/runtime behavior into modeling frameworks.
• Analyze bottlenecks and evaluate architectural tradeoffs across the platform.
• Collaborate with hardware, software, and ML teams to include realistic workloads.
• Evaluate performance, latency, throughput, and energy efficiency across targets.

Kenntnisse

Performance modeling

Computer architecture

System architecture

Python

C++

Simulation modeling

Compute architectures

Problem solving

Jobbeschreibung

Job Title: Performance Modeling Architect

Job Description

We are seeking a Performance Modeling Architect to develop and maintain modeling and simulation frameworks that support architecture and design decisions for advanced computing platforms. In this role, you will create analytical and simulation models that evaluate interactions between complex workloads, software environments, and underlying hardware systems. These models will enable detailed assessment of system-level tradeoffs and performance characteristics across a range of architectural approaches. You will model processing architectures, platform components, software behavior, and overall system dynamics to provide insights into real-world performance outcomes. Working across hardware and software domains, you will help drive co-design efforts, assess design alternatives, and quantify impacts on performance, responsiveness, scalability, efficiency, and resource utilization. Your contributions will play a key role in shaping future high-performance computing and intelligent processing solutions.

Responsibilities

• Develop system-level performance models for AI workloads and compute architectures.


• Build simulation frameworks that capture interactions between AI models, software runtimes, and hardware systems.


• Model key components of SoC architecture including compute units, memory hierarchies, and interconnects.


• Incorporate relevant software and runtime behavior into modeling frameworks to reflect realistic system execution.


• Analyze system bottlenecks and evaluate architectural tradeoffs across the platform.


• Work closely with hardware architects to guide microarchitectural and system-level design decisions.


• Collaborate with software and ML teams to incorporate realistic workloads into modeling.


• Use modeling and simulation to evaluate performance, latency, throughput, and energy efficiency across target applications.

Essential Skills

• Strong experience in computer architecture, system architecture, or performance modeling.


• Experience building simulation or analytical models of complex hardware systems.


• Strong programming skills (Python, C++, or similar) for modeling and simulation.


• Understanding of modern compute architectures such as CPUs, GPUs, or AI accelerators.


• Ability to analyze complex systems and identify performance bottlenecks.


• Strong quantitative reasoning and ability to translate models into architectural insights.

Additional Skills & Qualifications

• Experience modeling AI workloads or machine learning systems.


• Familiarity with architectural simulators or performance modeling tools.


• Experience with memory systems, interconnect architectures, or accelerator design.


• Exposure to hardware–software co-design methodologies.


• Experience modeling performance across multiple layers of the stack, including software runtimes and hardware platforms.

Work Environment

Work involves collaborating across hardware and software domains to drive co-design efforts. The role requires a strong understanding of computer architecture and involves using advanced simulation and analytical tools to evaluate system performance across various compute architectures. The work environment is dynamic and focused on innovation in high-performance computing and intelligent processing solutions.

Job Type & Location

This is a Permanent position based out of Raleigh, NC.

Pay and Benefits

The pay range for this position is $200000.00 - $500000.00/yr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Will work on getting benefits next week in call

Workplace Type

This is a hybrid position in Raleigh,NC.

Application Deadline

This position is anticipated to close on Sep 7, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications withoutregard to race, sex, age, color, religion, national origin, veteran status, disability,sexual orientation, gender identity, genetic information or any characteristic protectedby law.

If you would like to request a reasonable accommodation, such as the modification oradjustment of the job application process or interviewing process due to a disability,please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in thecity and county of San Francisco, we will consider for employment qualified applicantswith arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as acondition of employment or continued employment. An employer who violates this lawshall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):

We may use Artificial Intelligence (AI) to support parts of our hiring process,including sourcing, screening, and evaluating candidates. AI helps assess applicationsand qualifications, but final decisions are made by our hiring team. By applying, youacknowledge and agree that your application may be reviewed using AI tools.