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Intern, CPU RTL Design - Fall - Austin, TX and Santa Clara, CA

  • Internship
    Off-cycle Internship
  • Design
  • Austin
    Santa Clara
  • Quick Apply

AI generated summary

  • You must be a final year student or grad in EE/ECE/CE/CS with a high GPA, knowledge of computer architecture, C++/SV/UVM, assembly programming, Verilog/VHDL, and verification methodologies. Strong problem-solving skills required.
  • You will code, debug, and integrate CPU RTL design, develop tools for verification, create stimulus, support testbench components, and assist with infrastructure and tool development.


  • Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
  • Prior academic work in the field of computer architecture, internship experience preferred
  • Academic projects in C++ / SV / UVM as well knowledge of scripting languages
  • Understanding of assembly level programming
  • Knowledge of hardware description languages (Verilog, VHDL)
  • Strong academic skills or internship experience in verification methodologies and techniques – Simulation/debug, TB development, stimulus, checking, coverage
  • Strong problem solving and analytical skills


  • RTL coding for implementing features and logic design for CPU block
  • Understand and debug RTL code for the CPU and help make changes to the design
  • Help with development of architectural tools for ISA level verification
  • Write C/assembly based stimulus that scales from pre-silicon to emulation and post-silicon domain
  • Help with infrastructure and tool development for RTL, Performance and DV environments
  • Support development and integration of testbench components such as microarchitectural models, checkers and coverage

Building computers for AI.

Manufacturing & Electronics
Founded Year

Mission & Purpose

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers.