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Tenstorrent

Design Verification Lead, AI Hardware

  • Seen live on Tenstorrent's site today
  • Senior
Pay
Not stated
Location
Toronto, Ontario, Canada
Open for
12+ days
First seen
Oct 23, 2026
Apply on Tenstorrent's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Tenstorrent's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Tenstorrent, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

We are seeking a Verification Lead for our next-generation AI hardware. You’ll guide a top-tier team of Verification Engineers, shaping test strategies to validate functionality and performance of our AI core. 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.

This role is hybrid, based out Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

  • A Seasoned Verification Leader: An experienced ASIC/SoC lead with proven track record of leading teams through complex tape-outs.
  • An AI Hardware Specialist: An expert in the nuances of high-performance compute, specifically focused on AI/ML architectures and the intricacies of tensor-based operations.
  • A Systems Architect at Heart: A strategist who views verification through a system-level lens, ensuring that hardware, software, and on-chip networks (NoC) harmonize perfectly.
  • A Technical Mentor: A hands-on guide proficient in UVM, SystemVerilog, and cocotb, dedicated to elevating team capabilities and driving rigorous coverage-driven methodologies.

What We Need

  • 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.
  • Resiliency & Error Injection: A proactive approach to system stability, implementing robust concurrency controls and multi-core synchronization to handle edge-case failures.
  • Platform-Agnostic Methodology: The ability to develop portable test strategies that scale seamlessly from subsystem-level simulations to FPGA and final Silicon.
  • Cross-Functional Synergy: A collaborative mindset that bridges the gap between hardware architecture and software requirements to ensure performance targets are met.

What You Will Learn

  • Next-Gen AI/ML Tooling: Integrating your specific advanced automation frameworks and emerging AI-driven verification techniques into the existing lifecycle.
  • Evolving Workload Dynamics: Gaining a deeper understanding of your proprietary AI workloads and how they stress memory access patterns uniquely within your architecture.
  • Project-Specific Performance Bottlenecks: Identifying and mastering the unique architectural constraints of your specific SoC to push bandwidth limits further.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or 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.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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