> Markdown version of [/jobs/ext/4603334-cpu-microarchitect-vector-and-matrix-compute](https://www.wearedevelopers.com/jobs/ext/4603334-cpu-microarchitect-vector-and-matrix-compute). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CPU Microarchitect, Vector And Matrix Compute - **Company:** Tenstorrent Usa, Inc. - **Location:** Santa Clara, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microarchitecture, Extract Transform Load (ETL), Microprocessors, Internet Protocol, Machine Learning, CPU Design, Performance Tuning, Software Architecture, Reduced Instruction Set Computing, Subsystems, Systems Architecture, High Performance Computing, Information Technology - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/cpu-microarchitect-vector-and-matrix-compute-santa-clara-ca--c1c39f8c-9bca-4f21-a4fe-00d6012e83f4 ## About the Role CPU (Central Processing Unit), Semiconductors, RISC Processors, Artificial Intelligence (AI), CPU (Central Processing Unit), Problem Solving Skills, Leading Edge Technology, Computer Systems, Performance Tuning/Optimization, IP (Internet Protocol), * Passionate about designing next-generation compute architectures for AI, HPC, and large-scale datacenter systems. * Experienced in CPU architecture with strong knowledge of AI acceleration, matrix math, floating point, and heterogeneous compute systems. * Comfortable making architectural decisions across CPU cluster and subsystems. * Collaborative technical leader who enjoys influencing cross-functional engineering teams. * Curious and driven to solve challenging performance, scalability, and system architecture problems. What We Need * 5+ years of experience in CPU design for high-performance computing and AI acceleration. * Experience designing hardware for matrix floating-point computation, AI accelerators, vector processing, tensor engines, or machine learning workloads. * Knowledge of CPU architecture, memory hierarchy, data movement, cache coherency, and interactions between CPUs and AI accelerators. * Experience defining architectural specifications and leading cross-functional teams from concept through silicon implementation. * Experience with RTL development with cutting edge AI frontier models.