Manufacturing automation and smart factory infrastructure consulting
SK AX USA operates a multi-site manufacturing consulting practice with boots-on-the-ground presence across 10 states, focused on deploying MES systems, automation infrastructure, and hybrid cloud environments. The tech stack (SQL Server, Oracle, .NET, AWS, Azure, Kubernetes, Terraform) paired with active projects in network automation, fiber cabling, and cloud infrastructure design reveals a company building integrated operational technology for factories—not pure software plays. Hiring is engineering-heavy (6 of 8 open roles) but decelerating, with a senior-skewed mix, suggesting shift from growth-phase to delivery-phase execution on existing client wins.
Notable leadership hires: Director of Construction
SK AX USA is a manufacturing operations consulting firm backed by SK Inc., a South Korean technology conglomerate with over 30 years of operational technology experience. The company operates across 25 locations in 10 states with a regional center in Duluth, Georgia, serving mid-market manufacturers on Industry 4.0 transformation initiatives. Core service areas include manufacturing execution system (MES) integration, intelligent automation deployment, AI-driven vision inspection, robotics, and data center and hybrid cloud infrastructure build-outs. Delivery is on-site and hands-on: current project slate spans network automation, fiber cabling installation, cloud architecture design, and infrastructure-as-code implementation at client manufacturing sites.
Core stack: MES, SQL Server, Oracle, .NET, C#, Java. Infrastructure: AWS, Azure, VMware, Kubernetes, Docker, Terraform, Red Hat Enterprise Linux. Collaboration: Jira, Confluence, Bitbucket, Bamboo.
25 locations across 10 U.S. states, headquartered in Duluth, Georgia. Parent company SK Inc. is based in Seoul, South Korea.
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SK AX USA, Inc.'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 →
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