RISC-V Architect: Lead Custom AI-Compute Cores in Toronto

RISC-V Architect: Lead Custom AI-Compute Cores in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design high-performance RISC-V cores and collaborate with cross-functional teams.
  • Company: Leading AI technology company shaping the future of computing.
  • Benefits: Competitive compensation package and hybrid work model.
  • Other info: Exciting opportunity for career growth in a dynamic tech environment.
  • Why this job: Influence cutting-edge CPU architecture and drive innovation in AI technology.
  • Qualifications: 10+ years in CPU modeling, C++/Python proficiency, and RISC-V expertise.

The predicted salary is between 121500 - 148500 $ per year.

A leading AI technology company is seeking a Risc-V Architect to influence CPU architecture pivotal to their platform.

The role involves designing high-performance RISC-V cores and collaborating with cross-functional teams.

Candidates should have over 10 years in CPU modeling, proficiency in C++/Python, and a strong grasp of RISC-V technologies.

This hybrid role is based in Toronto and offers a competitive compensation package. #J-18808-Ljbffr

RISC-V Architect: Lead Custom AI-Compute Cores in Toronto employer: Tenstorrent

At Tenstorrent, we pride ourselves on being an exceptional employer that fosters a culture of collaboration, curiosity, and innovation. Located in the vibrant city of Vancouver, Canada, our hybrid work environment allows for flexibility while working on groundbreaking AI technology. We offer competitive compensation, comprehensive benefits, and ample opportunities for professional growth, making it an ideal place for engineers eager to contribute to the future of AI/ML computing.

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Contact Details:

Tenstorrent Recruitment Team

We think you need these skills to ace RISC-V Architect: Lead Custom AI-Compute Cores in Toronto

RISC-V Architecture
CPU Modeling
C++
Python
High-Performance Core Design
Cross-Functional Collaboration
AI-Compute Technologies