Software Engineering Intern (Summer 2026)

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