A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
Boise, Idaho, United States Job Description Summary:
Meta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads at scale. As an ASIC Engineer specializing in 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 the performance modeling methodology and long-term silicon roadmap strategy, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
Required Skills:
ASIC Engineer, Performance Architecture and Modeling Responsibilities:
1. Define and own the performance modeling strategy for custom infrastructure ASICs, including development of cycle-accurate and transaction-level simulation environments 2. Drive microarchitectural exploration and trade-off analysis across compute, memory subsystem, interconnect, and I/O domains to inform silicon architecture decisions 3. Develop and validate pre-silicon performance models that accurately predict post-silicon behavior for data center workloads 4. Develop low-level workloads and kernels for machine learning training and inference applications 5. Establish performance analysis methodologies, benchmarking frameworks, and bottleneck identification techniques across the full ASIC pipeline 6. Collaborate with architecture, RTL design, and physical design teams to translate performance requirements into implementable microarchitectural specifications 7. Partner with software and systems teams to co-optimize workload scheduling, firmware, and driver behavior against silicon performance characteristics 8. Lead cross-functional technical reviews and communicate performance modeling results and architectural recommendations to engineering leadership 9. Define long-term performance modeling infrastructure roadmaps, including tooling, automation, and simulation platform investments 10. Mentor other engineers on performance modeling techniques, simulation methodology, and microarchitectural analysis best practices 11. Identify and resolve performance gaps between modeled and measured silicon behavior through structured root-cause analysis and model calibration
Minimum Qualifications:
Minimum Qualifications:
12. Bachelor's degree in Comput To view full details and how to apply, please login or create a Job Seeker account
