Sr. Engineer, Performance Infrastructure (RISC-V)
Austin, United States · Hybrid · Full-time
- Posted 2w ago
- From Tenstorrent’s careers page
- Location
- Austin, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Department
- Engineering
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About the role
Who You Are
- Great at identifying problems and developing solutions, with a bias toward owning the systems you build.
- Enjoys building tools and optimizing workflows so other engineers can move faster.
- Strong Linux systems engineer, comfortable wrangling lab machines, clusters and flaky hardware platforms.
- Skilled in Python and shell scripting, with solid CI (GitLab) and container experience.
- Experienced automating at scale — job scheduling, artifact management, databases and dashboarding; curiosity about CPU performance is a plus, deep microarchitecture background is not required.
What We Need
- Build and maintain benchmarking automation and CI pipelines that run SPEC and real-world workloads across RISC-V silicon, FPGA/emulation platforms and performance models.
- Own SimPoint generation and management infrastructure.
- Build performance-data collection into databases, with dashboards and visualization tools on top, so trends and regressions are visible without manual effort.
- Develop workload capture and replay tooling (QEMU- and CRIU-based checkpointing) so perf engineers can trace and analyze workloads reproducibly.
- Collaborate closely with performance and software engineers on both teams to understand their flows and remove the infrastructure friction from them.
What You Will Learn
- End-to-end exposure to CPU performance work, from workload capture through analysis and convergence.
- Hands-on experience with pre-silicon and post-silicon performance platforms — models, emulation, FPGA and real RISC-V hardware.
- Integration of open-source and industry-standard tools into production-grade flows.
- Work in a deeply technical, highly collaborative team solving cutting-edge CPU and AI challenges.
Skills they ask for
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About Tenstorrent
Compute for every scaleTenstorrent develops AI computing systems, including superclusters and workstations for running AI workloads.
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