AI Infrastructure Intern: GPU & Cloud Platform (Remote)

Meshy AI; San Francisco (CA); On-site; USD 55,000 - 69,000; Full time

Benefits offered by this job

Equity

Flexible time off

Remote work options

Health insurance

Job summary

Meshy AI in Silicon Valley is offering a hands-on internship at the intersection of platform engineering, cloud infrastructure, security, and AI systems. You will work directly with experienced infrastructure engineers on projects supporting Meshy’s rapidly growing GPU-based workloads.

This hands-on role involves production-impacting infrastructure initiatives across cloud platforms, developer tooling, observability, automation, and internal platform systems, with exposure to Terraform and

Qualifications

• 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.

Responsibilities

• Rebuilding 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.

Skills

Python

Go

Backend languages

Education

Bachelor’s/Master’s/PhD in CS/SE

Tools

Kubernetes

Docker

Terraform

Job description

Meshy AI in Silicon Valley is offering a hands-on internship at the intersection of platform engineering, cloud infrastructure, security, and AI systems. You will work directly with experienced infrastructure engineers on projects supporting Meshy’s rapidly growing GPU-based workloads.

This hands-on role involves production-impacting infrastructure initiatives across cloud platforms, developer tooling, observability, automation, and internal platform systems, with exposure to Terraform and