Software Engineering Intern (Summer 2026)

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

Software Engineering Intern

At Zettabyte, we're on a mission to make AI compute ubiquitous, seamless, and limitless. We're building a cloud where AI just works—anywhere, anytime. "AI Power. Everywhere." Be part of the team designing the infrastructure for the AI-first world.

Why This Role Exists

We're looking for a Software Engineering Intern to help us build the systems powering our GPU cloud platform. You'll contribute to real production code across cloud-native infrastructure, platform tooling, and backend services—working alongside a senior engineering team that moves fast and ships impactful work.

This is a unique opportunity for someone who's excited to work on AI infrastructure at scale in a high-growth startup. You'll own meaningful work from day one—not just tickets.

What You'll Do

• Build and maintain cloud-native services and tooling supporting our GPU cloud platform

• Work with Kubernetes to help manage, schedule, and optimize GPU workloads across clusters

• Design and implement APIs, automation scripts, and internal tooling to improve platform reliability and developer experience

• Contribute to infrastructure-as-code, CI/CD pipelines, and deployment automation

• Write clean, well-documented code with testing and participate in code reviews

• Collaborate cross-functionally with infrastructure, product, and research teams to ship real features

• Leverage AI-assisted coding tools (GitHub Copilot, Cursor IDE, ChatGPT, etc.) to move fast and write quality code

You'll Thrive Here If You

• Are currently pursuing a B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field

• Have strong programming skills in Go (Golang), Python, C/C++, or similar

• Demonstrate strong math and CS fundamentals — algorithms, data structures, discrete math, or systems

• Have hands-on experience with Kubernetes, Docker, or cloud-native technologies

• Are familiar with cloud platforms (GCP, AWS, or Azure) and how infrastructure fits together

• Have worked with Git/GitHub and are comfortable in Linux/Unix environments

• Can communicate complex technical ideas clearly, in writing and in code

• Are curious, self-directed, and excited about working in an early-stage environment where your contributions matter

• Have experience with competitive programming, research, or independent technical projects

Bonus If You Have

• Experience with GPU infrastructure, NVIDIA tooling, or AI/ML workload orchestration

• Familiarity with CNI plugins, network policy, or multi-tenant Kubernetes environments

• Exposure to observability stacks (Prometheus, Grafana, alerting pipelines)

• Background in distributed systems or storage (NFS, object storage, high-speed networking)

• Contributions to open source cloud-native projects

Compensation & Perks

• Competitive internship stipend commensurate with experience

• Hands-on exposure to cutting-edge GPU cloud infrastructure and AI systems

• Mentorship from senior engineers with deep expertise in AI infrastructure

• Opportunity to convert to a full-time role for exceptional interns

Logistics & Compensation

• Hybrid — 3 days in office (Palo Alto), 2 days WFH

• Applicants must be authorized to work in the United States without visa sponsorship