High-density data centers for AI and GPU computing workloads
Core Scientific operates purpose-built data centers optimized for compute-intensive workloads, with a tech stack rooted in industrial control systems (SCADA, Siemens, Allen-Bradley) layered with modern infrastructure-as-code (Terraform, Kubernetes, Ansible). The hiring mix—engineering-focused with elevated finance and legal headcount—reflects both active site construction and the compliance/capital intensity of public data center operations. Pain points around M&A execution and capital allocation align with portfolio expansion.
Notable leadership hires: External Affairs Director
Core Scientific is a publicly traded data center operator (Nasdaq: CORZ) headquartered in Austin, Texas, focused on building and scaling high-density facilities for AI, GPU computing, and colocation workloads. The company operates across data center construction, commissioning, and long-term portfolio strategy. Internal operations span industrial control architecture (SCADA, BMS, HMI systems), financial close processes (NetSuite, Workiva, Blackline), and security compliance frameworks (ISO 27001, SOC 2, NIST). Founded in 2017, the company now employs 201–500 people across engineering, operations, finance, legal, and security functions, with active hiring primarily in the United States.
Industrial control systems (Siemens, Allen-Bradley, SCADA, BMS, HMI, Modbus, Profibus), network infrastructure (Cisco, Juniper), infrastructure-as-code (Terraform, Kubernetes, Ansible, Helm), and financial/compliance tools (NetSuite, Workiva, Blackline).
Active projects include data center construction and commissioning, control system architecture for facilities, security hardware testing during expansions, compliance maintenance (ISO 27001, SOC 2, NIST), and portfolio strategy.
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.