Software Engineering Intern (Summer 2026)

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