About the Role
Meta's Silicon Engineering organization is building custom silicon solutions for AI and data center workloads. As an ASIC Engineer, you will define and drive architectural performance analysis, pre-silicon modeling, and microarchitectural exploration of custom ASICs. You will establish modeling methodologies, develop workloads, and partner with cross-functional teams to ensure silicon meets demanding performance targets.
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.
Requirements
- Currently have, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- 2+ 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.
- Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs.
- Experience with the 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.
- Experience with assembly programming languages, and with compiler technologies.
Skills
- C++
- Python
- ASIC performance modeling
- Microarchitectural analysis
- Pre-silicon simulation
- Data center workloads
- AI accelerator workloads
- High-performance computing workloads
- Cycle-accurate performance models
- Transaction-level performance models
- SystemC
- Microarchitectural specifications
- Assembly programming
- Compiler technologies
- Python-based automation pipelines
- Simulation orchestration
- Regression testing
- Performance data analysis
- CUDA
- GPU programming
- Post-silicon performance validation
- Model-to-hardware correlation
- AI numerics
- Data types
- Math functions
- Precision/accuracy analysis
- High-level synthesis
- Power-performance-area trade-off analysis
- PPA-driven microarchitectural optimization
- Hyperscale data center ASICs
- Network ASICs
- Storage ASICs
- AI inference accelerator ASICs
- SystemVerilog
- VHDL
- ASIC development flows
Experience Level
- 2+ years of experience
Education Level
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Salary/Compensations
- $114,000/year to $172,000/year
Benefits
- bonus
- equity
About the Company
- Meta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale.
