Responsibilities
- Lead the design and implementation of rack-scale systems for AI and cloud computing, turning cluster architectures into deployable hardware solutions
- Integrate critical subsystems including networking, power distribution, and thermal management in high-density GPU racks to meet performance and serviceability goals
- Manage final deployment phases for large-scale systems, collaborating with customers and internal teams to ensure successful realization of cluster designs
- Develop and refine rack layouts and cabling infrastructure, including fiber and copper routing, patch panels, and high-density interconnects
- Coordinate with hardware, thermal, manufacturing, and software teams to deliver integrated solutions from concept through new product introduction and volume deployment
- Produce technical standards and documentation such as rack elevations, bills of materials, operational runbooks, and solution guides for use in field deployments
Responsibilities
- Own rack-scale design and deployment of AI and cloud infrastructure—translating cluster architectures into production-ready rack solutions
- Integrate networking, power, cooling, into high-density GPU environments, ensuring performance, scalability, and serviceability
- Lead last-mile execution for hyperscale deployments—working directly with customers and internal teams to bring clusters from design to reality
- Design and optimize rack layouts and cabling systems, including fiber/copper routing, patch panels, and high-density interconnects
- Drive cross-functional delivery across hardware, thermal, manufacturing, and software teams—from concept through NPI and volume deployment
- Create deployment standards and technical documentation (rack elevations, BOMs, runbooks, solution briefs) used by operators and customers
