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