GPU AI Infra Intern — Cloud, Kubernetes & IaC

Meshy LLC.

Valley (AL)

Hybrid

USD 40,000 - 60,000

Full time

14 days+

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Benefits offered by this job

Competitive salary, equity, and benefits package
Unlimited, flexible time off
Comprehensive health, dental, and vision insurance

Job summary

Meshy LLC. is offering an exciting internship opportunity focused on platform engineering and AI systems in Valley, Alabama. Interns will contribute significantly to real-world projects involving cloud infrastructure, developer tooling, and AI workloads.

Candidates should be pursuing a degree in Computer Science or a related field and possess strong coding skills in languages such as Python or Go. The role offers hands-on experience in a dynamic startup environment.

Qualifications

  • Currently pursuing a relevant degree in Computer Science or related field.
  • Strong coding skills in Python or Go.
  • Familiarity with Linux systems and major cloud platforms.

Responsibilities

  • Contribute to production-impacting infrastructure initiatives across cloud platforms.
  • Collaborate with infrastructure and product engineering teams.
  • Support cloud-based infrastructure for AI training and inference workloads.

Skills

Strong coding skills in Python, Go, or similar backend languages
Familiarity with Linux systems and cloud platforms
Interest in infrastructure engineering, distributed systems, DevOps, SRE, or AI infrastructure
Strong curiosity and ownership mindset

Education

Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or related field

Tools

Kubernetes
Docker
Terraform

Job description

Meshy LLC. is offering an exciting internship opportunity focused on platform engineering and AI systems in Valley, Alabama. Interns will contribute significantly to real-world projects involving cloud infrastructure, developer tooling, and AI workloads.

Candidates should be pursuing a degree in Computer Science or a related field and possess strong coding skills in languages such as Python or Go. The role offers hands-on experience in a dynamic startup environment.

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