Performance Architect, CPU Cluster

Tenstorrent•Santa Clara, CA

2d•$100,000 - $500,000•Remote

About The Position

Tenstorrent is looking for a CPU Cluster Performance Architect to help shape the performance and scalability of our next-generation CPUs. You’ll focus on how multiple CPU cores work together as a cluster — from cache hierarchies and coherent interconnects, to memory bandwidth and overall system behavior. This is a hands-on architecture role for someone who enjoys using performance models and simulation to understand bottlenecks, explore tradeoffs, and influence decisions early in the design process. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system architects to understand workload behavior and turn performance insights into architectural improvements. If you enjoy looking at the entire cluster and how performance scales across cores, memory systems, and chiplets, this is an opportunity to have a significant impact. This role is remote, based out of North America. 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

Strong foundation in CPU microarchitecture and performance, with an understanding of how cores, caches, interconnects, and memory systems interact.
Experience using modeling, simulation, and workload analysis to understand cluster-level performance bottlenecks and scaling challenges.
Comfortable moving between detailed microarchitecture and broader system-level questions around latency, bandwidth, quality of service, utilization, and scalability.
Analytical and hands-on, with the ability to turn large amounts of performance data into clear architectural recommendations.
Strong communicator who enjoys working across architecture, RTL, compiler, software, and system teams.

Nice To Haves

Experience with Gem5 or equivalent simulation environments.

Responsibilities

Analyze and optimize CPU cluster performance, including cache hierarchies, interconnects, coherence, and memory access behavior.
Build and use performance models and simulation environments such as Gem5 or equivalent to evaluate architectural concepts and identify performance opportunities.
Study real workloads to understand bottlenecks related to cache misses, coherence traffic, memory bandwidth, latency, contention, and core-to-core communication.
Lead architectural tradeoff studies across performance, scalability, bandwidth, latency, power, and implementation complexity.
Collaborate with CPU, cache, interconnect, memory, software, and system architects to translate performance analysis into concrete design decisions.