Performance Modeling Architect – AI Systems Silicon Performance Durham, North Carolina Durham, North Carolina Santa Clara, CA Boston, MA Austin, Texas Full-time 200000 - 500000

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 frameworks.

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

Required Qualifications

● Strong background 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 frameworks.

● 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.

Preferred 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.

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