In this role, you will manage the complex supply chain and logistics network that brings the silicon powering these data centers to life. You will own the planning strategy for new product introduction, bridging the critical gap between initial silicon development and mass production. This is an opportunity to orchestrate a global material flow that enables the creation of cutting-edge technology.
As a part of the role you will manage engineering labs capacity and inventory. It includes chips and hardware. You'll ensure our engineering teams have the components and materials they need to succeed, exactly when they need them. You will drive operational excellence, optimize inventory utilization, and work closely with cross-functional teams and external vendors to maintain a seamless flow of chips and hardware.
In addition, you will work with various groups to deploy best practices for material tracking and allocation. You will drive the readiness of the supply chain to meet mass production ramp requirements.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Drive end-to-end NPI build schedules, coordinating across product, operations, and external suppliers to ensure material readiness aligns perfectly with engineering timelines.
Manage complex supply chain logistics, working directly with vendors, foundries and OSATs to secure critical components, resolve shortages, and mitigate risks before they impact the launch.
Collaborate with cross-functional teams to translate engineering requirements into actionable supply capacity plans, anticipating demand changes and adjusting forecasts dynamically.
Create infrastructure for execution, establishing a reporting status, allocation metrics, and tracking tools to ensure process transparency and efficiency.
Execute global shipment operations, coordinating the movement of materials to and from vendors and between engineering teams, ensuring import/export compliance and on-time delivery.
As a part of the role you will manage engineering labs capacity and inventory. It includes chips and hardware. You'll ensure our engineering teams have the components and materials they need to succeed, exactly when they need them. You will drive operational excellence, optimize inventory utilization, and work closely with cross-functional teams and external vendors to maintain a seamless flow of chips and hardware.
In addition, you will work with various groups to deploy best practices for material tracking and allocation. You will drive the readiness of the supply chain to meet mass production ramp requirements.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Drive end-to-end NPI build schedules, coordinating across product, operations, and external suppliers to ensure material readiness aligns perfectly with engineering timelines.
Manage complex supply chain logistics, working directly with vendors, foundries and OSATs to secure critical components, resolve shortages, and mitigate risks before they impact the launch.
Collaborate with cross-functional teams to translate engineering requirements into actionable supply capacity plans, anticipating demand changes and adjusting forecasts dynamically.
Create infrastructure for execution, establishing a reporting status, allocation metrics, and tracking tools to ensure process transparency and efficiency.
Execute global shipment operations, coordinating the movement of materials to and from vendors and between engineering teams, ensuring import/export compliance and on-time delivery.
Requirements:
Minimum qualifications:
Bachelors degree in Industrial Engineering, Logistics, or equivalent practical experience.
2 years of experience in NPI supply chain management in semiconductors industry.
Experience in managing Silicon NPI build schedules and material readiness, with a focus on product development requirements and samples milestones.
Experience working with Foundries, OSATs, and coordinating supply chains around the globe.
Experience working in a multinational corporate environment.
Experience with global logistics operations, including import/export compliance, customs clearance, and managing shipments between vendors and engineering teams.
Preferred qualifications:
Experience in managing complex logistics in a corporate high-velocity environment, including crisis management and rapid problem-solving.
Experience in working with cross-functional stakeholders and with external vendors.
Experience with data analysis and visualization tools to create dashboards and drive data-backed decision-making.
Minimum qualifications:
Bachelors degree in Industrial Engineering, Logistics, or equivalent practical experience.
2 years of experience in NPI supply chain management in semiconductors industry.
Experience in managing Silicon NPI build schedules and material readiness, with a focus on product development requirements and samples milestones.
Experience working with Foundries, OSATs, and coordinating supply chains around the globe.
Experience working in a multinational corporate environment.
Experience with global logistics operations, including import/export compliance, customs clearance, and managing shipments between vendors and engineering teams.
Preferred qualifications:
Experience in managing complex logistics in a corporate high-velocity environment, including crisis management and rapid problem-solving.
Experience in working with cross-functional stakeholders and with external vendors.
Experience with data analysis and visualization tools to create dashboards and drive data-backed decision-making.
This position is open to all candidates.
