Sr. Performance Modeling Architect

Tenstorrent•Austin, TX

3d•$100,000 - $500,000•Hybrid

About The Position

Tenstorrent is seeking a CPU Performance Modeling Architect to help shape the next generation of high-performance RISC-V CPUs optimized for AI and high-performance computing applications. This role is ideal for early-career architects with a strong academic background, ideally a PhD, who have experience working on CPU core or mid-core architecture and are passionate about using performance modeling to influence architectural decisions. This role is hybrid, based out of Santa Clara, CA or Austin, TX. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Requirements

1-5 years of industry experience or equivalent research experience in CPU architecture, performance analysis, or microarchitecture development.
Strong foundation in CPU core or mid-core design.
Understanding of modern processor pipelines and performance tradeoffs.
Ability to combine analytical thinking, software development, and hardware architecture.
PhD preferred (MS considered) in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
Experience working on CPU core, mid-core, or microarchitecture development through industry, research, or advanced academic projects.
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.
Understanding of processor subsystems such as instruction scheduling, branch prediction, caches, memory hierarchy, prefetching, and execution pipelines.

Responsibilities

Influence architectural decisions through performance modeling.
Work on CPU core or mid-core architecture.
Analyze and solve complex performance challenges.
Contribute to building industry-leading AI compute platforms.
Gain hands-on experience building high-performance RISC-V CPUs from the ground up.
Learn how architectural decisions translate into real-world performance across AI and HPC workloads.
Work alongside world-class CPU architects to influence the direction of next-generation AI compute systems.
Expand expertise in performance modeling, workload analysis, and hardware-software co-design at scale.