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ASIC Engineer, Performance Architecture and Modeling
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-10-18
Listing for:
Meta
Full Time
position Listed on 2026-10-18
Job specializations:
-
Engineering
Systems Engineer, Hardware Engineer, Test Engineer
Job Description & How to Apply Below
Hardware+ 2 more Apply nowMeta's Silicon Engineering organization is building custom silicon solutions that power the infrastructure underpinning Meta's AI and data center workloads 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 strategy, as well as develop and analyze workloads, partnering with architecture, design, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
---## ASIC Engineer, Performance Architecture and Modeling 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
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