# Performance Architect, CPU Cluster at TensTorrent

- Company: TensTorrent
- What the company does: Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together...
- Company website: https://tenstorrent.com
- Type: Startups
- Level: Mid level
- Location: Santa Clara, California, United States
- Work setup: On-site
- Pay: $100K to $500K base salary per year (USD)
- Posted: 2026-09-16
- Apply by: 2026-10-31
- Apply: https://job-boards.greenhouse.io/tenstorrent/jobs/5240032007
- Page: https://www.1752.vc/careers/jobs/tenstorrent-performance-architect-cpu-cluster/

## About the role

Tenstorrent is looking for a CPU Cluster Performance Architect to help shape the performance and scalability of our next-generation CPUs. You’ll focus on how multiple CPU cores work together as a cluster — from cache hierarchies and coherent interconnects, to memory bandwidth and overall system behavior. This is a hands-on architecture role for someone who enjoys using performance models and simulation to understand bottlenecks, explore tradeoffs, and influence decisions early in the design process.

## What they're looking for

- You have a strong foundation in CPU microarchitecture and performance, with an understanding of how cores, caches, interconnects, and memory systems interact
- You enjoy using modeling, simulation, and workload analysis to understand cluster-level performance bottlenecks and scaling challenges
- You’re comfortable moving between detailed microarchitecture and broader system-level questions around latency, bandwidth, quality of service, utilization, and scalability
- You’re analytical and hands-on, with the ability to turn large amounts of performance data into clear architectural recommendations
- You’re a strong communicator who enjoys working across architecture, RTL, compiler, software, and system teams

Tags: Architecture: Performance Model