System Level Modeling and Pre-Silicon Lead

Intel•Folsom, CA

1d•Hybrid

About The Position

We are seeking a Senior Engineer to lead system-level modeling and pre-silicon simulation for next-generation data center platforms. This role focuses on defining modeling strategies that enable accurate performance, power, and scalability analysis across compute, storage, networking, and interconnect components. The ideal candidate combines deep technical expertise in data center architectures with a passion for driving innovation in modeling frameworks and simulation methodologies.

Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.
10+ years in system architecture, modeling, or performance analysis for data center or HPC environments.
Proven expertise in architectural modeling tools (e.g., Simics, SystemC, C++, Python-based frameworks).
Deep understanding of CPUs, GPUs, accelerators, memory hierarchy, and networking.
Strong background in simulation methodologies, workload analysis, and power/performance modeling.

Nice To Haves

Familiarity with AI/ML workloads and large-scale data center environments.
Experience with advanced modeling frameworks and automation techniques.
Track record of technical leadership and cross-functional collaboration.

Responsibilities

Own system-level modeling strategy and execution for complex data center platforms, spanning compute, memory, and interconnect subsystems.
Develop predictive models for workload characterization, capacity planning, and performance/power trade-off analysis.
Drive pre-silicon simulation techniques to optimize system efficiency and guide architectural decisions.
Collaborate with architecture, hardware, and software teams to align modeling requirements with product roadmaps.
Innovate modeling frameworks, automation, and simulation flows to accelerate design cycles.
Lead technical reviews and mentor engineers, ensuring best practices in modeling methodologies and tool usage.
Influence next-generation platform architecture through data-driven insights from modeling and analysis.
Engage with hyperscalers, OEMs/ODMs, and industry partners to partner on workload analysis and future-looking datacenter direction.