High-density data centers for AI, GPU hosting and colocation
Core Scientific builds and operates high-density data centers for GPU and AI hosting workloads. Hiring is accelerating and heavily ops-weighted, with job posts centered on commissioning, hydronic rack cooling and onboarding new sites, which points to a portfolio moving from construction into live operations. The stack mixes industrial controls (SCADA, Allen-Bradley, Modbus, BMS) with Terraform and Kubernetes, alongside Procore for construction management.
Core Scientific is a Nasdaq-listed (CORZ) data center company headquartered in Austin, Texas, founded in 2017. It designs, builds and runs high-density facilities aimed at demanding compute workloads, including AI hosting, GPU computing and colocation. The company employs 201–500 people and currently hires in the United States. Operations span facility construction, power and cooling management, network infrastructure and ongoing site operations, supported by finance, legal and security functions.
Core Scientific uses Terraform, Kubernetes, Helm and Ansible, industrial controls such as SCADA, BMS, Allen-Bradley and Siemens, networking from Cisco and Juniper, plus SAP, NetSuite, Workiva, Blackline and Procore.
Yes. Hiring is accelerating and concentrated in data center operations, followed by engineering, with smaller needs in finance, legal, construction, HR and security. Most roles are mid-level, all in the United States.
Job posts point to data center construction and commissioning, hydronic rack cooling, fiber optic outside plant work, structured cabling standards, CMMS standards and onboarding new data center sites.
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Core Scientific'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.