Infrastructure Intern

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.

Responsibilities

Work directly with experienced infrastructure engineers on projects that support Meshy’s rapidly growing AI platform and GPU-based workloads; Contribute to real production-impacting infrastructure initiatives across cloud platforms, developer tooling, observability, automation, and internal platform systems; Rebuild and improve staging environments in non-production infrastructure using Terraform and cloud-native tooling; Contribute to internal infrastructure platform initiatives across reliability, automation, observability, and developer experience; Support Kubernetes- and cloud-based infrastructure used for AI training and inference workloads; Help evaluate and improve security and compliance tooling and processes; Build internal tooling and automation to improve engineering productivity and operational efficiency; Collaborate with infrastructure, research, and product engineering teams on high-priority platform initiatives

Requirements

Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related technical field; Strong coding skills in Python, Go, or similar backend languages; Familiarity with Linux systems and cloud platforms (AWS, GCP, or Azure); Exposure to Kubernetes, Docker, Terraform, or Infrastructure as Code concepts; Interest in infrastructure engineering, distributed systems, DevOps, SRE, or AI infrastructure; Strong curiosity, ownership mindset, and willingness to learn quickly in a fast-paced startup environment

Nice to have

Experience with personal projects, hackathons, open-source contributions, or research projects; Familiarity with CI/CD pipelines, observability tooling, or cloud security concepts; Exposure to GPU infrastructure, ML systems, or AI platforms; Experience deploying services using Kubernetes or Docker

Benefits

Comprehensive health, dental, and vision insurance; The latest and best office equipment; Competitive salary, equity, and benefits package; Flexible work environment, with options for remote and on-site work; Opportunities for fast professional growth and development; Inclusive culture that values creativity, innovation, and collaboration; Unlimited, flexible time off