RISC‑V AI/HPC CPU Performance Modeling Architect

Tenstorrent; Austin (CA); Hybrid; USD 100,000 - 500,000; Full time

Benefits offered by this job

Competitive compensation

Benefits package

Hybrid work model

Job summary

Tenstorrent is seeking a CPU Performance Modeling Architect to help shape the next generation of high‑performance RISC‑V CPUs optimized for AI and HPC workloads. This hybrid role may be based in Santa Clara, CA, or Austin, TX, with offers aligned to experience level.

The role welcomes candidates of varying experience. PhD preferred (MS considered) and a strong background in CPU core/mid-core design, performance analysis, and modeling tools will be valued.

Qualifications

• 1-5 years of industry or equivalent research experience in CPU architecture, performance analysis, or microarchitecture development.
• Strong foundation in CPU core or mid-core design and understand modern processor pipelines and performance tradeoffs.
• Experience with performance modeling tools such as Gem5, SST, SimpleScalar, or equivalent simulation environments.
• Strong programming skills in C++, Python, or similar languages used for architectural modeling and analysis.

Responsibilities

• Help shape the next generation of high-performance RISC-V CPUs optimized for AI and HPC applications.
• Perform performance modeling and analysis to inform architectural decisions.
• Collaborate with CPU architects to influence design choices and evaluation methodologies.

Skills

CPU architecture

Performance analysis

Microarchitecture development

Performance modeling tools

C++

Python

Processor pipelines

Education

PhD preferred

MS considered

Tools

Gem5

SST

SimpleScalar

Job description

Tenstorrent is seeking a CPU Performance Modeling Architect to help shape the next generation of high‑performance RISC‑V CPUs optimized for AI and HPC workloads. This hybrid role may be based in Santa Clara, CA, or Austin, TX, with offers aligned to experience level.

The role welcomes candidates of varying experience. PhD preferred (MS considered) and a strong background in CPU core/mid-core design, performance analysis, and modeling tools will be valued.