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ASIC Engineer, Architecture
Meta
Sunnyvale, USA
Full-time
Entry · 2+ years experience
Onsite
USD 114000-172000 yearly / year
Discovered 1 weeks ago
C++PythonSystemCCUDASystemVerilogVHDL
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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
Minimum Qualifications
- Currently has, 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
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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