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Datacenter & Agentic AI Workload Performance Optimization Engineer

Tenstorrent · Santa Clara, CA · Posted 29 days ago

remoteic
RISC-VPerformance OptimizationCompiler OptimizationRuntime OptimizationJavaPythonC/C++RISC-V Assembly

Shape the future of RISC-V computing by optimizing next-gen datacenter and AI workloads while directly influencing Tenstorrent's CPU architecture.

Tenstorrent is looking for a Workload Performance Optimization Engineer to help optimize the software workloads that run on our next-generation RISC-V platforms. You’ll work across modern datacenter and agentic AI workloads—including Java, Python, PHP, Node.js, Lua, Go, and Rust—to identify performance bottlenecks and develop software, compiler, runtime, and hardware-aware optimizations that improve throughput, latency, and efficiency. This role sits at the intersection of software runtimes, compilers, CPU microarchitecture, and RISC-V silicon. You’ll bring up and tune major runtimes, profile real-world applications, investigate memory and concurrency behavior, and explore optimizations using RISC-V Vector/Matrix capabilities and custom instructions. You’ll also work with AI-assisted development and automated optimization workflows to accelerate the performance engineering process. Your work will directly influence both the RISC-V software ecosystem and the architecture of future Tenstorrent CPUs.

This role is remote, based out of North America.

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There are 128 open roles at Tenstorrent right now. This role centers on Risc-v, Performance Optimization, Cpu Microarchitecture, and Java.

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