Senior Engineer, System-Level Design Verification

Benefits

Parental leave

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Non-birth-parent leave

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Mental health support

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Senior Engineer, System-Level Design Verification Toronto, Ontario, Canada 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. Tenstorrent is seeking a Senior Engineer, System-Level Design Verification to ensure our AI silicon delivers reliable, scalable performance in real workloads. You will validate full-system behavior, from connectivity to throughput, across large distributed compute platforms. This role is hybrid, based out of Toronto, Austin, TX or Belgrade, Serbia. 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 - Experienced verification engineer focused on full-system behavior, not only block-level micro-architecture. - Strong at analyzing AI workload performance and hardware interaction end-to-end. - Comfortable debugging complex issues with both hardware and software teams. - Obsessed with reliability, observability, and operational excellence across compute platforms. What We Need - Validate system connectivity, coherency, and functionality across large, distributed AI compute systems.

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