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← Tenstorrent

Formal Verification Engineer

Tenstorrent · Santa Clara, California, United States; Spain · North America · Spain

CHECKED 21M AGO

Infrastructureonsitesenior$100k–$500k
Apply on the lab’s site ↗

At a glance

Highlights

  • Ensure correctness of next-gen high-performance RISC-V CPUs for AI platforms.
  • Prove complex hardware behavior and uncover corner cases simulation misses.
  • Apply formal methods to challenging control logic in modern processor design.

Ideal candidate

A collaborative verification engineer who loves solving hard problems and hunting elusive bugs. You think in properties and proofs and are excited to shape high-performance CPUs alongside architects.

Requirements

  • 6+ years of experience in design verification, formal verification, or related RTL verification for CPUs, SoCs, ASICs, or complex digital designs
  • Hands-on experience with formal verification methodologies and tools, including property checking, assertions, assumptions, constraints, and coverage analysis
  • Strong SystemVerilog skills, including experience writing and debugging SVA
  • Solid understanding of digital design and computer architecture, including CPU pipelines, caches, interfaces, and control logic
  • Strong programming and scripting skills in Python, Tcl, C/C++, or similar with excellent debugging and problem-solving abilities
remote policy
Remote, based out of North America or Spain
hiring process
Candidates will be assessed for the appropriate level during the interview process, with offers aligned to that level

Lab profile

About Tenstorrent

Builds high-performance RISC-V CPUs and AI accelerators with full-stack software for efficient AI computing.

What they build

  • AI accelerators
  • RISC-V CPUs
  • AI software and compilers

Known for

  • Custom RISC-V CPU development from scratch
  • Full-stack AI hardware and software
  • Performance, ease of use and cost efficiency

Key facts

  • Founded in 2016
  • Headquartered in Toronto, Canada
  • Backed by Samsung and Hyundai Motor Group
More about Tenstorrent →
Apply on the lab’s site ↗