Tenstorrent

Datacenter & Agentic AI Workload Performance Optimization Engineer

Santa Clara, California, United States; Toronto, Ontario, CanadaPosted 2 days ago
Apply on Tenstorrent's career page

CV for this role

Rewrite your CV for what Tenstorrent asks for

This job is free to read. A CV tailored to it comes with Weekly and Monthly.

Tailor my CV

Pay comparison

Market pay for software developers in California, United States

25th percentileMedian75th percentile

Per year, across all employers in this occupation. This figure is not from Tenstorrent.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

Job description preview

From Tenstorrent’s original posting

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. 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…

Open full posting on Tenstorrent’s site

Similar roles on Seoulstart

Browse all Global jobs