Job Req ID: 29832Job Summary:As Staff Data Center Solutions Engineer you will be the primary technical point of contact from the Data Center side for customers planning, deploying, and validating large-scale GPU clusters - at customer sites, in Supermicro-owned facilities, and in partner colocation environments. This is a fulfillment role serving customers directly, day one as an individual contributor, with a clear path to leading a small team as the group scales.
This role suits a Staff Data Center Solutions Engineer who wants to grow into broad GPUaaS solution engineering while advising customers on Supermicro's DCBBS liquid-cooled (DLC) and air-cooled product lines - CDUs, Sidecars, cooling towers, and chillers. You don't need to be a professional software developer, but you should understand how software is built well enough to guide internal tooling work and speak credibly to technical customers and internal engineering teams alike. Strong presentation and communication skills are essential - you'll regularly be the person customers trust in the room.
Essential Duties and Responsibilities:Drive DataCenter Systems Planning & Deployment: Work directly with customers to plan, deploy, and validate GPU cluster deployments, coordinating infrastructure build-out, rack power-up, network fabric bring-up, cooling commissioning, and system validation.
Customer Advisory on Cooling & Power Products: Advise customers on Supermicro's DCBBS DLC and air-cooled product lines - CDUs, Sidecars, cooling towers, and chillers - helping them select and configure the right solution for their deployment.
BMS & Infrastructure Monitoring Integration: Connect and configure Building Management System (BMS) monitoring integrations alongside datacenter infrastructure monitoring tools (power, cooling, environmental) to ensure clusters are deployed into healthy, well-instrumented environments.
AI/NeoCloud & GPUaaS Expertise: Apply strong working knowledge of NeoCloud infrastructure and GPUaaS platforms, including Agentic AI tooling, to guide deployment decisions, automate diagnostics, and troubleshoot issues unique to AI infrastructure.
Internal Tooling Direction: Partner with engineering to scope and direct internal tooling and automation using Agentic Coding tools, applying software development understanding without requiring hands-on coding as a core function.
Cross-Team Technical Leadership: Diagnose complex, multi-disciplinary issues spanning power, cooling, networking, and compute, and lead (often dotted-line) teams through resolution during critical deployment windows.
Customer-Facing Delivery: Serve as the primary technical point of contact for customers throughout planning, deployment, and validation, managing expectations and communicating status/issues clearly.
Partner Datacenter Coordination: Work with partner colocation facility teams to align on power, cooling, and space readiness ahead of and during deployments.
AI Factory Service Strategy: Contribute to strategies and improvements for Supermicro's end-to-end AI Factory deployment services, drawing on direct customer fulfillment experience to identify gaps and opportunities.
Documentation & Runbooks: Develop and maintain installation runbooks, deployment checklists, and troubleshooting playbooks to support repeatable, high-quality deployments as the team scales.
Qualifications:- Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, or a related field-or equivalent experience-with 12+ years of experience in datacenter infrastructure or GPU cluster deployment.
- Strong understanding of AI/NeoCloud infrastructure architectures and GPUaaS platforms.
- Strong understanding of how software is built; able to direct and evaluate internal tooling work without necessarily writing production code.
- Practical experience using Agentic AI tools and workflows for diagnostics or automation.
- Hands-on experience planning, deploying, and validating GPU compute clusters (NVIDIA/CUDA preferred).
- Working knowledge of BMS integration and datacenter infrastructure monitoring tools (e.g., Hyperview, Grafana, PagerDuty, or similar).
- Solid understanding of datacenter cooling and power systems - liquid cooling (DLC), CDUs, Sidecars, cooling towers, chillers, and three-phase power distribution.
- Excellent presentation and communication skills; comfortable and credible presenting technical recommendations directly to customers.
- Demonstrated ability to lead cross-functional technical teams without formal authority (dotted-line leadership).
Preferred Qualifications:- Background in Electrical or Computer Engineering.
- Prior experience deploying GPU clusters in colocation or multi-tenant partner datacenter environments.
- Familiarity with high-density rack architectures (OCP, MGX, or similar).
- Understanding of network fabrics used in GPU clusters (InfiniBand, RoCEv2).
- Experience with ServiceNow CSM or similar customer-facing IT service platforms.
- Experience building or directing agentic AI/coding workflows for infrastructure diagnostics or operations automation.
- Interest or experience in contributing to service strategy or process improvement initiatives.
Salary Range$165,000 - $200,000
The salary offered will depend on several factors, including your location, level, education, training, specific skills, years of experience, and comparison to other employees already in this role. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation, such as participation in bonus and equity award programs.
