Software Engineer (New Grad)

• Own features end-to-end - from scoping the problem with users, to writing frontend and backend code, to deploying and monitoring in production
• Build fast, polished interfaces in Vue, Next.js, or React
• Design and build backend services in Go
• Own and operate Kubernetes infrastructure - deployments, scaling, monitoring, troubleshooting
• Build and maintain CI/CD pipelines and infrastructure-as-code
• Administer and harden Linux systems; own networking end-to-end (DNS, firewalls, load balancers, ingress, VPNs)
• Set up monitoring, alerting, and runbooks. Run incident response and post-mortems
• Dogfood our product relentlessly. Use it daily, break it on purpose, file detailed bugs, push the team to ship better software
• Automate everything. If you’re doing it manually more than once, script it
• Operate cloud infrastructure (GCP, AWS, or Azure)
• Use AI dev tools (Claude Code, Codex, Cursor, etc.) to move faster and ship more

Software Engineering, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Cloud Computing, Supply Chain, Large-Scale Systems, Software Engineering, Product Shipments, User Interface/Experience (UI/UX), Requirements Management, * 0-2 years of experience - new grads welcome, what matters is what you can do

• Strong in at least one of: frontend (JavaScript/TypeScript, Vue/React/Next.js), backend (Go, service design, APIs), or infrastructure (Linux, Kubernetes, networking)
• Comfortable working across the stack - you don’t need to be an expert in everything, but you’re not afraid to jump in
• Testing mindset - you enjoy breaking things and making sure code works
• Product instincts - you think about the user first and notice when something feels off
• High agency - when something is broken, you fix it; when something is missing, you build it
• Ship fast, iterate, communicate clearly
• Comfortable with ambiguity. Requirements change. Priorities shift. You thrive in that

Bonus Points

• Fluent in Chinese (Mandarin) - strong bonus
• Deeper Kubernetes experience - RBAC, networking policies, operating clusters in production
• Terraform, Pulumi, or other IaC tools
• Observability stacks (Prometheus, Grafana, Datadog, ELK)
• Service meshes, gRPC, or message queues (Kafka, NATS, RabbitMQ)
• Design sensibility - Figma to pixel-perfect, or skip Figma entirely
• Familiarity with AI/ML tools and integrating LLMs into products
• Bare metal or on-prem experience
• Security hardening or pen-testing background
• Contributions to open source or notable side projects
• A homelab you can tell us about in unreasonable detail, * Hybrid - 3 days in office, 2 days WFH; must be located in Palo Alto
• Applicants must be authorized to work in the United States without visa sponsorship

• Competitive salary and equity based on experience

At Zettabyte, we’re building the software and systems that make large-scale AI infrastructure actually work. We help enterprises and sovereign nations deploy, manage, and optimize GPU clusters - from bare metal to cloud. Backed by the world’s top hardware supply chain (Foxconn, Wistron, Pegatron), we’re scaling AI compute globally.