Senior CPU Architecture & Performance for Data Center AI

Samsung Semiconductor Inc.; San Jose (CA); On-site; USD 163,000 - 253,000; Full time

Job summary

Samsung Semiconductor, Inc. in San Jose is seeking a Staff CPU Architecture & Performance Engineer to shape the architecture and performance direction of next-generation CPU designs.

You will identify opportunities across workloads, develop performance models, and guide design decisions from modeling through silicon validation. You will work with RTL teams to translate concepts into implementable designs, build simulators, and publish research while advancing agentic AI workloads and

Qualifications

• Master's degree or PhD in Computer Engineering, CS, or related field.
• 8+ years of relevant experience with a Master’s degree, or 5+ years with a PhD.

Responsibilities

• Propose new architecture ideas and own one or more microarchitectural domains, including front-end, mid-end, and back-end.
• Use AI-driven design methodologies to rapidly implement architectural ideas and validate them on real silicon.
• Build, extend, and validate performance models and architectural simulators.
• Perform CPI/IPC analysis and identify root causes of performance bottlenecks.
• Evaluate microarchitectural features and optimizations using trace-driven, analytical, and cycle-accurate models.
• Characterize workloads and benchmarks, including SPEC, server, client, AI/ML, agentic AI, and internal traces.
• Translate performance analysis and modeling results into architectural direction and design decisions.
• Drive research leading to patents and technical publications.

Skills

CPU microarchitecture

Performance engineering

RISC-V/ARM/x86 cores

gem5

C/C++

Python

Performance data analysis

Education

Master's degree in Computer Engineering/CS

PhD in related field

Tools

gem5

Architectural simulators

Job description

Samsung Semiconductor, Inc. in San Jose is seeking a Staff CPU Architecture & Performance Engineer to shape the architecture and performance direction of next-generation CPU designs.

You will identify opportunities across workloads, develop performance models, and guide design decisions from modeling through silicon validation. You will work with RTL teams to translate concepts into implementable designs, build simulators, and publish research while advancing agentic AI workloads and