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# Engineer, Performance Infrastructure

- **Company:** Tenstorrent Usa, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $100,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Microarchitecture, Software Debugging, Python (Programming Language), CPU Design, Open Source Technology
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/sr-engineer-performance-infrastructure-tenstorrent-company-8293423

## About the Role

* Strong problem solver who can identify complex issues, develop practical solutions, and drive them through implementation.
 * Enjoy building tools and improving the infrastructure, workflows, and methodologies that make CPU development more efficient.
 * Skilled in C++ and Python, with experience using industry-standard compilation, simulation, and emulation tools.
 * Experience with verification infrastructure and methodologies along with knowledge of high-performance CPU architecture and microarchitecture.
 * Proficient in debugging RTL and logic across multiple design hierarchies and pre-silicon environments., * Hands-on experience with performance models, correlation, and analysis across pre-silicon and post-silicon phases.
 * Experience integrating open-source and industry-standard tools to improve design flows and results.
 * How to work in a deeply technical, highly collaborative team solving cutting-edge CPU design challenges.

## Description

* Join a team driving improvements in CPU microarchitecture, verifying performance, and correlating results between RTL and the performance model.
 * Enhance the design environment, tools, and methodologies to improve development efficiency.
 * Own the performance correlation framework, including tracking, visualization, and analysis tools.
 * Collaborate closely with RTL engineers and core architects to meet performance goals, debug miscorrelation, and verify performance features.
 * Use innovative techniques to optimize power, performance, and area while driving performance experiments and evaluating results.


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