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Super Micro Computer

Modular, energy-efficient server hardware solutions

Staff Data Center Solutions Engineer

Implementation & Technical Account ManagementUpdated on Nov 14
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Computer Science, or a related field, or equivalent experience, and 12 or more years of experience in datacenter infrastructure or GPU cluster deployment.
  • Strong understanding of AI/NeoCloud infrastructure architectures and GPUaaS platforms.
  • Strong understanding of software development sufficient 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 experience is preferred.
  • Working knowledge of Building Management System (BMS) integration and datacenter infrastructure monitoring tools such as Hyperview, Grafana, PagerDuty, or similar.
  • Solid understanding of datacenter cooling and power systems, including liquid cooling (DLC), CDUs, Sidecars, cooling towers, chillers, and three-phase power distribution.
  • Presentation and communication skills sufficient to present technical recommendations directly to customers.
  • Ability to lead cross-functional technical teams without formal authority (dotted-line leadership).

Responsibilities

  • 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.
  • Advise customers on DCBBS DLC and air-cooled product lines, including CDUs, Sidecars, cooling towers, and chillers, and help select and configure solutions for their deployments.
  • Connect and configure BMS monitoring integrations alongside datacenter infrastructure monitoring tools for power, cooling, and environmental conditions.
  • Apply knowledge of NeoCloud infrastructure and GPUaaS platforms, including Agentic AI tooling, to guide deployment decisions, automate diagnostics, and troubleshoot AI infrastructure issues.
  • Partner with engineering to scope and direct internal tooling and automation using Agentic Coding tools, applying software development understanding without making hands-on coding a core function.
  • Diagnose multidisciplinary issues spanning power, cooling, networking, and compute, and lead dotted-line teams through resolution during critical deployment windows.
  • Serve as the primary technical point of contact for customers throughout planning, deployment, and validation; manage expectations and communicate status and issues.
  • Coordinate with partner colocation facility teams to align power, cooling, and space readiness ahead of and during deployments.
  • Contribute to strategies and improvements for end-to-end AI Factory deployment services, using customer fulfillment experience to identify gaps and opportunities.
  • Develop and maintain installation runbooks, deployment checklists, and troubleshooting playbooks to support repeatable deployments.

Desired Qualifications

  • Background in Electrical Engineering or Computer Engineering.
  • Prior experience deploying GPU clusters in colocation or multi-tenant partner datacenter environments.
  • Familiarity with high-density rack architectures such as OCP, MGX, or similar.
  • Understanding of network fabrics used in GPU clusters, including InfiniBand and 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 contributing to service strategy or process improvement initiatives.

About the Company

Super Micro Computer

Modular, energy-efficient server hardware solutions

Super Micro Computer designs and sells high-performance, energy-efficient server hardware and related software and services for data centers, cloud, AI, 5G, and edge computing. Its modular Building Block Solutions let customers assemble configurable servers, storage, motherboards, and chassis from common components to match workloads. The company emphasizes green computing and power efficiency to reduce energy use in large-scale deployments and enable faster procurement. Its goal is to help customers deploy reliable computing infrastructure quickly through direct sales and an extensive partner network of distributors and value-added resellers.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
1993

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