New: upload your resume and get matched to AI jobs. Free to start →

Principal CPU Microarchitect - RISC-V & AI Compute

Salary not listed • Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada • Full-time

Posted 1y ago

This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.

No salary is listed. Many US states require employers to post a pay range, so ask about pay early.

Job Location

Austin, Texas, United States; Santa Clara, California, United States; Toronto, Ontario, Canada

Remote Work Policy

On-site

Employment Type

Full-time

Categories

Machine Learning Engineer

About the job

Tenstorrent is at the forefront of AI technology, aiming to revolutionize performance, usability, and cost-efficiency. As AI reshapes computing, our solutions must integrate software models, compilers, platforms, networking, and semiconductors. We have developed a high-performance RISC-V CPU and are seeking passionate individuals to build the ultimate AI platform. Our Tensix Team is architecting the future of AI compute with scalable RISC-V processors, focusing on reimagining RISC-V core frontends for enhanced programmability, efficiency, and developer experience. This is a unique opportunity to influence the CPU architecture at the core of our AI platform and lead a critical technical initiative.

Responsibilities

  • Analyze AI workloads to identify execution bottlenecks and define CPU performance requirements.
  • Drive the microarchitecture design of custom RISC-V CPU cores, balancing performance, power, and area (PPA) targets.
  • Design and implement custom instructions to significantly improve performance while maintaining compiler programmability and developer velocity.
  • Collaborate with compiler, software, and hardware teams to co-design the next-generation AI compute architecture.

Requirements

  • 10+ years of deep expertise in CPU performance modeling and microarchitecture design.
  • Deep familiarity with the computational and memory bottlenecks of modern AI workloads, especially Large Language Models (LLMs).
  • Experience architecting custom instruction set extensions and validating their performance against real-world workloads.
  • Familiarity with open-source RISC-V cores.
  • Experience with AI-based agentic workflows.

Benefits

  • Highly competitive compensation package

About Tenstorrent