Sr. Inventory Specialist - Supply Chain

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.

The Sr. Inventory Specialist will be responsible for end-to-end visibility, accuracy, and control of all company-owned inventory across multiple global locations. This role requires a strong understanding of semiconductor manufacturing flows, outsourced operations, and ERP-driven inventory control. You will partner closely with Supply Chain, Manufacturing, Finance, and Quality teams to ensure material availability, minimize variances, and maintain world-class data integrity.

This role is hybrid, based out of 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

• Bring 5+ years of inventory management experience in semiconductor, electronics, or high-tech manufacturing.

• Confident working in SAP S4 HANA (or similar ERP systems) with deep knowledge of inventory modules.

• Known for precision, analytical thinking, and effective collaboration across diverse teams and partners.

• Experience working for manufacturing company including 3PL operations, contract manufacturing & inventory consignment

What We Need

• Someone who can maintain accurate inventory records in SAP S4 HANA, achieving 99%+ accuracy through cycle counts, reconciliations, and variance resolution.