Remote CPU Cluster Performance Architect

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

Job summary

Tenstorrent is seeking a CPU Cluster Performance Architect to shape the performance and scalability of our next-generation CPUs. You will analyze how multiple cores form a cluster, from cache hierarchies to memory bandwidth, and drive architectural improvements through modeling and simulation.

This remote role is based in North America and welcomes candidates at varying experience levels; offers align with level after review.

Qualifications

• Strong foundation in CPU microarchitecture and performance analysis.
• Experience with performance modeling and simulation.
• Ability to translate workload analyses into architectural recommendations.
• Experience collaborating across CPU, RTL, compiler, software and system teams.
• Excellent communication skills across multidisciplinary teams.

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 to evaluate architectural concepts and identify 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.

Skills

CPU microarchitecture

Performance modeling

Simulation tools

Cluster-level analysis

Collaboration across teams

Communication

C/C++ proficiency

Tools

Gem5

Job description

Tenstorrent is seeking a CPU Cluster Performance Architect to shape the performance and scalability of our next-generation CPUs. You will analyze how multiple cores form a cluster, from cache hierarchies to memory bandwidth, and drive architectural improvements through modeling and simulation.

This remote role is based in North America and welcomes candidates at varying experience levels; offers align with level after review.