Samsung
Principal Engineer, Architecture & Performance Research for Data Center and Agentic AI CPU
$219K–$351K
San Jose, California, United States · Principal · Full-time · Posted Oct 1, 2026
- Experience
- Master’s degree with 18+ years of relevant experience, or PhD with 15+ years; also requires 5+ years in CPU microarchitecture, architecture research, or performance engineering.
- Education
- Master’s degree in Computer Engineering, Computer Science, or a related field, or PhD.
About the job
Define CPU architecture and performance direction for next-generation RISC-V platforms, from workload analysis and microarchitectural research through RTL implementation and silicon validation.
What you'll do
- Lead performance analysis and modeling to guide architectural trade-offs and long-term design direction.
- Drive CPU microarchitecture and architecture-to-implementation alignment with RTL design teams.
- Provide technical leadership and mentorship, and contribute research leading to patents and publications.
What they ask for
- At least 5 years in CPU microarchitecture, architecture research, or performance engineering, with a track record of driving architectural direction.
- Experience designing and evaluating high-performance CPU architectures, such as RISC-V, ARM, or x86, and quantitative performance analysis and modeling.
- Deep expertise in a major microarchitectural domain and hands-on experience building, extending, and applying architectural simulators and performance models.
- Strong C/C++ and Python programming skills; ability to carry architectural concepts through RTL implementation and silicon validation.
Nice to have
- Experience with AI/ML, agentic AI, or data center workloads; AI-driven architecture and design methodologies.
- Experience with memory-centric CPU-memory co-design, system-level PPA trade-offs, or taking designs through tape-out and silicon validation.
Pay
$219,000 — $351,000 USD (base salary)
Tools
RISC-V, ARM, x86, gem5, C/C++, Python, RTL
AI focus
Research CPU architecture for agentic AI workloads and develop AI-driven methodologies for architectural exploration and design.
Model-written summary · the original posting is authoritative