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Tenstorrent is seeking an RTL Engineer to join their team in Tokyo, Japan. The candidate will be working on a high-profile project involving the integration of multiple chiplets into a System-in-package, collaborating with external stakeholders and Tenstorrent's global experts. This role involves developing and customizing chiplets, focusing on die-to-die interconnect.

Responsibilities:

  • Work on front-end RTL integration of CPU cores, AI cores, interface IPs and high-speed I/Os
  • Write specifications, micro-architecture, create RTL implementation plan, implement the plan based on the micro-architecture specification
  • Work closely with verification, emulation and physical design teams to transform RTL to GDSII
  • Work on post-silicon validation activities
  • Contribute to design methodologies driving continuous improvement for front-end design

Requirements:

  • Advanced degree in electrical, computer engineering or computer science
  • At least 5 years industry experience in logic design
  • Knowledge of CPU architecture, SoC architecture
  • Experience with CPU/SoC RTL implementation with Verilog/SystemVerilog
  • Experience with high-speed I/O controllers & PHY integration, such as PCI-express, DDR, HBM or UCIe
  • Proficiency in RTL design and front-end tools and simulators (VCS/IUS), CDC/Lint checkers
  • Proficiency in physical design tools like synthesis (DC), static timing checks (STA), DFT
  • Good problem-solving, organizational, and communication skills
  • Good English language skills (written and spoken)
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Tenstorrent

Tenstorrent is an AI technology company focused on revolutionizing performance, usability, and cost efficiency. They are developing a comprehensive AI platform, unifying advancements in software models, compilers, platforms, networking, and semiconductors. The company has developed a high-performance RISC-V CPU and is committed to building innovative AI solutions. Tenstorrent values collaboration, curiosity, and solving complex challenges within the high-growth, international AI landscape. They manage significant cash portfolios, navigate international banking, and prepare for potential IPO readiness, demonstrating maturity as a company.