Software Engineering Intern developing services for GPU cloud infrastructure at Zettabyte. Collaborating with engineering teams to enhance AI compute systems and tooling.
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
Requirements
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 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
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
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