Staff Engineer, Architecture & Performance Research Engineer for Data Center and Agentic AI CPU

What you'll do

• Propose microarchitectural concepts, evaluate workload performance and bottlenecks, and guide architecture and design decisions.
• Build and validate performance models and simulators; assess features using trace-driven, analytical, and cycle-accurate methods.
• Use AI-driven design methods to implement and validate ideas, and drive research toward patents and technical publications.

What they ask for

• Master’s degree in Computer Engineering, Computer Science, or a related field with 8+ years of relevant experience, or PhD with 5+ years of relevant experience.
• 4+ years of experience in CPU microarchitecture or performance engineering; experience designing RISC-V, ARM, x86 CPU cores, or GPU/NPU vector unit.
• Strong understanding of out-of-order execution, branch prediction, pipelines, speculation, and cache/memory systems; hands-on experience with architectural simulators such as gem5.
• Proficiency in C/C++ and Python, and experience analyzing large-scale performance data and traces.

Nice to have

• Experience with AI-driven or agentic design workflows, high-level design languages, or AI-assisted RTL generation; understanding of agentic AI workload execution patterns.
• Experience in domain-specific CPU design, PPA trade-off analysis, mentoring, CPU tapeout or silicon validation, patents, or technical publications.

Pay

$163,000–$253,000 USD base salary

Tools

RISC-V, ARM, x86, gem5, C/C++, Python, RVV/SIMD

AI focus

Use AI-driven design methodologies to accelerate architectural exploration, implement CPU architecture ideas, and validate them on real silicon; the role addresses agentic AI workloads.