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About the role

Overview: In this role, you will shape the performance and scalability of Tenstorrent’s next‑gen CPUs by evaluating how multi‑core clusters behave from caches to interconnects. You’ll work with cross‑functional teams to translate performance insights into architectural decisions and tradeoffs. The position offers meaningful impact on how workloads scale across cores, memory systems, and chiplets in a cutting‑edge AI platform. This remote role places you at the core of a collaborative, curiosity‑driven team building high‑performance computing solutions. Compensation / Benefits remote work competitive compensation package
Responsibilities: Analyze and optimize CPU cluster performance, focusing on caches, interconnects, coherence, and memory access patterns Build and use performance models and simulators (e.g., Gem5) to evaluate architectural concepts Study real workloads to identify bottlenecks such as cache misses, coherence traffic, and memory bandwidth Lead architectural tradeoff studies across performance, scalability, bandwidth, latency, power, and complexity Collaborate with CPU, cache, interconnect, memory, software, and system architects to turn analysis into design decisions
Key requirements: Strong foundation in CPU microarchitecture and performance Experience with performance modeling, simulation, and workload analysis Ability to translate data into architectural recommendations Strong communication and cross‑functional collaboration skills Comfort across microarchitecture and system‑level questions (latency, bandwidth, QoS, utilization, scalability) analytical mindset hands‑on clear communicator CPU microarchitecture and performance performance modeling and simulation cache hierarchies and memory systems

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