Infrastructure Intern

About the role

This internship sits at the intersection of platform engineering, cloud infrastructure, security, and AI systems. You will work directly with experienced infrastructure engineers on projects that support Meshy's rapidly growing AI platform and GPU-based workloads. This is a hands-on engineering internship where you will contribute to real production-impacting infrastructure initiatives across cloud platforms, developer tooling, observability, automation, and internal platform systems. You'll gain exposure to: GPU infrastructure and AI platform engineering Kubernetes and cloud-native systems Infrastructure as Code (Terraform) CI/CD and deployment workflows Security and compliance tooling Reliability and scalability challenges in AI systems What Projects You'll Work On: Rebuilding and improving staging environments in non-production infrastructure using Terraform and cloud-native tooling Contributing to internal infrastructure platform initiatives across reliability, automation, observability, and developer experience Supporting Kubernetes- and cloud-based infrastructure used for AI training and inference workloads Helping evaluate and improve security and compliance tooling and processes Building internal tooling and automation to improve engineering productivity and operational efficiency Collaborating with infrastructure, research, and product engineering teams on high-priority platform initiatives What Makes the Work Interesting: GPU training clusters using Kubernetes and distributed systems concepts AI inference infrastructure serving multimodal generative models at scale Real-world platform engineering challenges involving performance, reliability, and cost optimization Opportunity to work where platform engineering, SRE, and applied ML systems meet in practice