Tenstorrent Inc.

Tenstorrent Inc.

Design Verification Lead, AI Hardware

Toronto, Ontario, Canada · Contract

Sponsorship not specified$100k-$500kDetected 8 days ago
Machine LearningLLMsFPGAVerilogLeadershipCollaboration

About the role

  • With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors.
  • We value collaboration, curiosity, and a commitment to solving hard problems.
  • This role requires expertise in AI-specific data types, common AI data-movement compute patterns, and on-chip network validation, combined with strong leadership and collaboration skills.

Responsibilities

  • An experienced ASIC/SoC lead with proven track record of leading teams through complex tape-outs.

Requirements

  • Strategic AI Verification: Expertise in architecting verification plans for mixed-precision data types (FP8, BF16, INT8) and validating the accuracy of complex AI transformations.
  • High-Performance NoC Expertise: Deep experience benchmarking on-chip networks under high-demand traffic, ensuring throughput, bandwidth, and congestion management meet peak requirements.

Skills

  • Integrating your specific advanced automation frameworks and emerging AI-driven verification techniques into the existing lifecycle.

Compensation

  • for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets.

Benefits

  • Experience, skills, education, background and location all impact the actual offer made.

Equal opportunity

  • Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Visa & Work Authorization

  • r indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U

This listing is sourced directly from Tenstorrent Inc.'s careers page and normalized into a canonical job model.