Performance Architect, CPU Cluster

🔥 9 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $100k - $500k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

👻 Ghost score 2%

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Tenstorrent Inc.

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51 - 200 employees

Founded 2016

🏭 Manufacturing

💼 Consulting

🤖 Artificial Intelligence

Manufacturing • Consulting • Artificial Intelligence

Tenstorrent is a cutting-edge technology company based in Santa Clara, CA, specializing in AI semiconductors and computing solutions. They have developed advanced products like the TT-QuietBox, a liquid-cooled workstation designed for AI model development, and the Tenstorrent Galaxy, a high-performance AI compute server. Recently, Tenstorrent secured over $693M in Series D funding to enhance its AI chip capabilities and challenge market leaders in the AI data center sector.

📋 Description

• 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 • Study real workloads to identify bottlenecks involving 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, compiler, RTL, and system architects • Translate performance analysis into concrete architectural and design decisions • Architect, model, and optimize multi-core CPU clusters from early performance exploration through implementation and silicon

🎯 Requirements

• Strong foundation in CPU microarchitecture and performance • Understanding of how cores, caches, interconnects, and memory systems interact • Experience or ability to use modeling, simulation, and workload analysis • Ability to analyze cluster-level performance bottlenecks and scaling challenges • Knowledge of latency, bandwidth, quality of service, utilization, and scalability • Ability to turn performance data into architectural recommendations • Strong communication and cross-functional collaboration skills • Knowledge of cache hierarchies, interconnects, coherence, and memory access behavior • Experience with performance models and simulation environments such as Gem5 or equivalent • Knowledge of cache misses, coherence traffic, memory bandwidth, latency, contention, and core-to-core communication • Eligibility to access U.S. export-controlled technology; employment may be contingent on citizenship/permanent residency status or obtaining prior license approval

🏖️ Benefits

• Highly competitive compensation package and benefits • Equal opportunity employer

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