GPU Cloud Infrastructure Intern — AI, Kubernetes, Hybrid

zettabyte-space; United States; Hybrid; USD 28,000 - 48,000; Part time

Benefits offered by this job

Intern stipend

Mentorship from senior engineers

Potential full-time transition

Hybrid in Palo Alto

Job summary

Zettabyte is seeking a Software Engineering Intern to help build our GPU cloud platform and the underlying infrastructure. You will contribute to production code across cloud-native services and platform tooling, working with a senior team that ships impactful work.

This role offers exposure to AI infrastructure at scale, ownership from day one, and a path toward full-time opportunities in a fast-growing startup. Hybrid work available.

Qualifications

• Pursuing a BS/MS in CS, Engineering, Math or related field.
• Strong fundamentals in algorithms and data structures.
• Experience with cloud-native tooling and automation.
• Proficient in at least one of Go, Python or C/C++.

Responsibilities

• Build and maintain cloud-native services for the GPU cloud platform.
• Work with Kubernetes to manage GPUs across clusters.
• Design APIs, scripts, and tooling to improve reliability.
• Contribute to infrastructure-as-code and CI/CD pipelines.
• Write clean, tested code and participate in reviews.
• Collaborate with infra, product, and research teams to ship features.

Skills

Go (Golang)

Python

C/C++

Algorithms & Data Structures

Education

B.S. or M.S. in CS or related field

Tools

Kubernetes

Docker

Git / GitHub

CI/CD

Job description

Zettabyte is seeking a Software Engineering Intern to help build our GPU cloud platform and the underlying infrastructure. You will contribute to production code across cloud-native services and platform tooling, working with a senior team that ships impactful work.

This role offers exposure to AI infrastructure at scale, ownership from day one, and a path toward full-time opportunities in a fast-growing startup. Hybrid work available.