AI ASIC Performance Architect & Modeling Lead

Meta; Menlo Park (CA); On-site; USD 146,000 - 209,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's Silicon Engineering organization is building custom silicon solutions that power Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's infrastructure.

In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap

Qualifications

• 6+ years of experience in ASIC design, silicon engineering, or a related technical field.
• Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools.
• 5+ years of experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs.
• Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon.
• Experience developing cycle-accurate or transaction-level performance models using C++ and SystemC for complex digital systems including processors, memory subsystems, or high-speed interconnects.
• Experience defining microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams.

Responsibilities

• Drive microarchitectural exploration and trade-off analysis across compute, memory subsystem, interconnect, and I/O domains to inform silicon architecture decisions.
• Define and own the performance modeling strategy for custom infrastructure ASICs, including development of cycle-accurate and transaction-level simulation environments.
• Develop and maintain C++ models of AI chip IPs and subsystems for architecture exploration, performance analysis, and software development.
• Develop low-level workloads and kernels for machine learning training and inference applications.
• Establish performance analysis methodologies, benchmarking frameworks, and bottleneck identification techniques across the full ASIC pipeline.
• Collaborate with architecture, RTL design, and physical design teams to translate performance requirements into implementable microarchitectural specifications.
• Partner with software and systems teams to co-optimize workload scheduling, firmware, and driver behavior against silicon performance characteristics.
• Lead cross-functional technical reviews and communicate performance modeling results and architectural recommendations to engineering leadership.
• Define long-term performance modeling infrastructure roadmaps, including tooling, automation, and simulation platform investments.
• Mentor other engineers on performance modeling techniques, simulation methodology, and microarchitectural analysis best practices.
• Identify and resolve performance gaps between modeled and measured silicon behavior through structured root-cause analysis and model calibration.

Skills

C++

Python

Performance modeling

Tools

SystemC

SystemVerilog

Job description

Meta's Silicon Engineering organization is building custom silicon solutions that power Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in architecture, performance and modeling, you will define and drive the architectural performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs designed for Meta's infrastructure.

In this role, you will establish functional and performance modeling methodologies and long-term silicon roadmap