Datacenter Performance Analysis Engineer – Agentic AI Workload

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 12%

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Tenstorrent Inc.

WebsiteLinkedInAll Job Openings

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

• Shape the performance of next-generation RISC-V CPUs across modern datacenter and agentic AI workloads • Bring real-world applications onto RISC-V platforms and characterize their behavior • Use workload analysis to identify opportunities for improved CPU performance, efficiency, and scalability • Work with CPU architects, RTL designers, software engineers, and compiler teams to understand workload execution • Translate workload insights into architectural improvements • Reduce large production workloads into representative workloads and traces for performance modeling • Correlate simulation results with hardware behavior • Influence CPU architecture and performance across cloud, enterprise, and emerging AI workloads

🎯 Requirements

• Strong background in CPU performance analysis, workload characterization, or computer architecture, with experience connecting software behavior to hardware performance • Understanding of modern CPU microarchitecture, including superscalar pipelines, speculative execution, memory hierarchies, and vector/SIMD architectures • Experience using profiling and simulation data to identify bottlenecks and develop actionable recommendations • Comfortable working across CPU microarchitecture, RTL, operating systems, compilers, runtimes, and applications • Strong technical communication and collaboration skills • PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field, with strong research or industry experience in workload characterization, benchmark development, performance analysis, or simulation • Deep understanding of CPU architecture and RISC-V, including pipelines, speculative execution, vector/SIMD extensions, memory hierarchies, and performance tradeoffs • Hands-on experience with Linux perf, strace, QEMU, or CPU microarchitecture simulators • Strong programming skills in C/C++, Python, Bash/Shell, and assembly or intrinsic programming • Strong understanding of systems software, including operating systems, virtualization, compilers, runtimes, and GNU/RISC-V software ecosystems • Eligibility to access U.S. export-controlled technology, including compliance with applicable U.S. export laws

🏖️ Benefits

• Highly competitive compensation package and benefits • Variable compensation targets included in the overall compensation range

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