Software Engineering Intern (Summer 2026) at Zettabyte in Remote

Summary: Zettabyte is on a mission to make AI compute ubiquitous and seamless, building a cloud where AI just works. They are seeking a Software Engineering Intern to contribute to their GPU cloud platform by building and maintaining cloud-native services and tooling, collaborating with a senior engineering team. Responsibilities: - 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 Required Qualifications: - Currently pursuing a B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field - Strong programming skills in Go (Golang), Python, C/C++, or similar - Demonstrate strong math and CS fundamentals — algorithms, data structures, discrete math, or systems - Hands-on experience with Kubernetes, Docker, or cloud-native technologies - Familiar with cloud platforms (GCP, AWS, or Azure) and how infrastructure fits together - Worked with Git/GitHub and are comfortable in Linux/Unix environments - Can communicate complex technical ideas clearly, in writing and in code - Curious, self-directed, and excited about working in an early-stage environment where your contributions matter - Experience with competitive programming, research, or independent technical projects Preferred Qualifications: - 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 Required Skills: Go (Golang), Kubernetes, Cloud-native technologies Important Skills: Python, C/C++, CI/CD pipelines, Git/GitHub, Cloud platforms Nice-to-Have Skills: Curiosity, Self-directed, Competitive programming, Communication skills Internship Start Date: Start in 2026 Summer Benefits: 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