Technical Program Manager II – NPI Deployment Planning – Technical Infrastructure
Company | |
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Location | The Dalles, OR, USA, Atlanta, GA, USA |
Salary | $132000 – $189000 |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience in program or technical project management.
- Experience with New Product Introduction (NPI), Data Centers, and Deployment Planning.
Responsibilities
- Support the delivery of projects while managing data center constraints (e.g., power, space, cooling, operations, and network) in data center deployments, and focus on NPI deployments for high-performance computing initiatives.
- Create and manage physical layouts and standards, including the deployment impact and feasibility of NPIs, and define and manage tooling requirements for planning and delivery.
- Influence the development of new products and server floor design decisions, focused particularly on upcoming transitions in the ML and accelerator space, and build plans to help transition between successive product generations.
- Drive the development of new tools and decision-making frameworks for optimizing fleet lifecycle.
- Define standards and policies to simplify deployability of new ML and accelerator products, spanning TPU, GPU, and other product families across multiple product areas.
Preferred Qualifications
- 2 years of experience managing cross-functional or cross-team projects.
- Experience with capacity planning (e.g., network, power, and cooling), including the use of planning and optimization tools.
- Experience managing data center constraints and knowledge of data center physical layouts, infrastructure, and standards (e.g., power, space, cooling, operations, and network).
- Experience with data center, networking and machine deployments, including understanding of deployment process and the ability to drive tools and automation for continuous process improvement.
- Knowledge of New Product Introduction (NPI) process and Product Life Cycle (PLC), as it relates to hardware products for machine learning and high-performance computing.