Software Engineering Intern (Summer 2026) at Zettabyte

Job description

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

Requirements

Must-haves

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 (GitHub 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/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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesci/cdgogolangpythondockergcpawsazureml

Platform: ashby
Effort: quick