Datacenter Performance Analysis Engineer – Agentic AI Workload

Tenstorrent Inc.

. Shape the performance of next-generation RISC-V CPUs across modern datacenter and agentic AI workloads .

Posted 10/30/2026full-timeRemote • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in CPU performance analysis and workload characterization, with a strong foundation in CPU architecture, particularly RISC-V. Proficient in translating workload insights into architectural improvements and collaborating effectively across multidisciplinary teams.

Highest-signal resume keywords

CPU Performance AnalysisWorkload CharacterizationRISC-V ArchitectureC/C++ ProgrammingLinux Perf

ATS Keywords

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Hard Skills

CPU MicroarchitectureProfiling and SimulationBenchmark DevelopmentPerformance AnalysisVector/SIMD ArchitecturesSpeculative ExecutionMemory HierarchiesAssembly ProgrammingBash/Shell ScriptingOperating Systems

Soft Skills

Technical CommunicationCollaboration

Tools & Technologies

QEMULinux PerfStraceCPU Microarchitecture Simulators

Industry Keywords

Datacenter WorkloadsAI WorkloadsExport-Controlled TechnologyGNU/RISC-V Software Ecosystems

Tech Stack

Tools & technologies

AssemblyCloudLinuxPythonC++

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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