Software Engineer Intern

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