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 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 robust leadership and collaboration skills. 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 strategist who views verification through a system-level lens, ensuring that hardware, software, and on-chip networks (NoC) harmonize perfectly. A Technical Mentor: 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.



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. A collaborative mindset that bridges the gap between hardware architecture and software requirements to ensure performance targets are met. 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. S. export-controlled technology. S. export laws, including those codified in the U.
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). 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.
Commerce Department or applicable federal agency.

📌 Design Verification Lead, AI Hardware (Canada)
🏢 Tenstorrent University Jobs
📍 Canada