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Описание вакансии
Текст:
TL;DR
Staff NPI Global Supply Planner (AI Hardware): Translating engineering release schedules, BOM structures, and production forecasts into executable materials and capacity plans for next-generation AI hardware with an accent on semiconductor components, contract manufacturing, and ERP/PLM data accuracy. Focus on managing supply constraints, part-number transitions, forecast risks, and cross-functional mitigation plans during NPI ramps and steady-state production.
Location: Hybrid, based in Toronto, Ontario, Canada
Company
Tenstorrent develops next-generation AI and RISC-V compute platforms spanning software models, compilers, platforms, networking, CPUs, and semiconductors.
What you will do
- Own end-to-end materials and production planning for NPI ramps and steady-state builds across silicon, substrates, PCBAs, and mechanical and electrical components.
- Translate engineering release schedules, program plans, and production forecasts into rolling supply and capacity requirements for contract manufacturers.
- Partner with PLM and Engineering on ECO, ECN, and BOM changes, ensuring accurate part-number transitions and current planning data.
- Maintain accurate ERP and PLM system-of-record data and build dashboards and KPI reporting for leadership visibility.
- Identify supply, forecast, lead-time, and single-source risks; run Clear-to-Build meetings and drive cross-functional mitigation plans.
Requirements
- Experience in NPI planning within semiconductor, AI hardware, or high-tech manufacturing environments.
- Strong understanding of BOM structures, engineering change processes, ERP and PLM systems, and system-of-record data.
- Ability to turn engineering and program ambiguity into clear, executable supply and production plans.
- Ability to align Engineering, Operations, Planning, and contract manufacturing partners.
- Ability to work in a hybrid arrangement based in Toronto, Ontario, Canada.
Culture & Benefits
- Competitive compensation package and benefits.
- Collaborative, curious environment focused on solving difficult AI hardware and compute problems.
- Opportunity to learn how AI hardware moves from engineering release through NPI ramp and steady-state production.
- Exposure to supply constraints, capacity planning, inventory health, and contract manufacturer commitments.
- Employment is contingent on eligibility to access U.S. export-controlled technology under applicable export regulations.
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