Server, storage and GPU infrastructure for AI, cloud and data centers
Supermicro designs server, storage and GPU rack systems for enterprise, cloud, AI and edge deployments. Its stack mixes firmware and management tooling (BIOS, IPMI, Redfish) with HPC networking (InfiniBand, Spirent, iperf) and AI frameworks (PyTorch, TensorFlow), pointing to deep hardware validation work. Hiring skews senior and engineering-led, with field engineering buildout and cluster deployment recurring across posts while HR systems move toward Workday and SuccessFactors.
Notable leadership hires: Solution Director, Director of Product Management, Sales Director, HR Director
Supermicro is a publicly traded computer hardware manufacturer headquartered in San Jose, California, founded in 1993. It builds servers, storage, GPU systems, rack solutions, embedded hardware and enclosures for enterprise, cloud, AI, 5G telco and edge infrastructure buyers, with an emphasis on energy-efficient designs including liquid cooling. The company employs 5,001–10,000 people and recruits across North America, Europe, the Middle East and Asia-Pacific, including Taiwan, the Netherlands, Germany, Japan and Singapore. Teams span engineering, sales, product, support, operations and manufacturing.
Supermicro works with BIOS, IPMI and Redfish for server management, InfiniBand and HPC tooling, Kubernetes, OpenShift, Docker, GitLab, C++, Python, PyTorch and TensorFlow, plus SAP, Workiva and Power BI on the business side.
Supermicro hires across the United States, Canada, Taiwan, China, Japan, South Korea, Singapore, Malaysia, India, Australia, much of Europe including the Netherlands, Germany and France, plus Israel, the UAE and Saudi Arabia.
Job posts highlight cluster deployment, data center building block solutions (DCBBS), new product introduction, platform portfolio strategy, an aggressive go-to-market plan and expanded service programs.
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Supermicro's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.