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
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Build and maintain cloud-native services and tooling supporting our GPU cloud platform
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Work with Kubernetes to help manage, schedule, and optimize GPU workloads across clusters
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Design and implement APIs, automation scripts, and internal tooling to improve platform reliability and developer experience
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Contribute to infrastructure-as-code, CI/CD pipelines, and deployment automation
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Write clean, well-documented code with testing and participate in code reviews
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Collaborate cross-functionally with infrastructure, product, and research teams to ship real features
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Leverage AI-assisted coding tools (GitHub Copilot, Cursor IDE, ChatGPT, etc.) to move fast and write quality code
You’ll Thrive Here If You
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Are currently pursuing a B.S. or M.S. in Computer Science, Engineering, Mathematics, or a related field
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Have strong programming skills in Go (Golang), Python, C/C++, or similar
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Demonstrate strong math and CS fundamentals — algorithms, data structures, discrete math, or systems
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Have hands-on experience with Kubernetes, Docker, or cloud-native technologies
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Are familiar with cloud platforms (GCP, AWS, or Azure) and how infrastructure fits together
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Have worked with Git/GitHub and are comfortable in Linux/Unix environments
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Can communicate complex technical ideas clearly, in writing and in code
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Are curious, self-directed, and excited about working in an early-stage environment where your contributions matter
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Have experience with competitive programming, research, or independent technical projects
Bonus If You Have
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Experience with GPU infrastructure, NVIDIA tooling, or AI/ML workload orchestration
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Familiarity with CNI plugins, network policy, or multi-tenant Kubernetes environments
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Exposure to observability stacks (Prometheus, Grafana, alerting pipelines)
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Background in distributed systems or storage (NFS, object storage, high-speed networking)
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Contributions to open source cloud-native projects
Compensation & Perks
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Competitive internship stipend commensurate with experience
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Hands-on exposure to cutting-edge GPU cloud infrastructure and AI systems
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Mentorship from senior engineers with deep expertise in AI infrastructure
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Opportunity to convert to a full-time role for exceptional interns
Logistics & Compensation
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Hybrid — 3 days in office (Palo Alto), 2 days WFH
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Applicants must be authorized to work in the United States without visa sponsorship