Software Engineering Intern; Summer

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.

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.

• 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 (Git Hub Copilot, Cursor IDE, ChatGPT, etc.) to move fast and write quality code

• 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/Git Hub 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

• 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

• 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

• Hybrid — 3 days in office (Palo Alto), 2 days WFH
• Applicants must be authorized to work in the United States without visa sponsorship