Software Engineer (New Grad)

Zettabyte•Palo Alto, CA

23h•Hybrid

About The Position

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. Why This Role Exists We're hiring new grad software engineers to work across the entire stack — from the frontend interfaces enterprises use to manage GPU clusters, to the backend services and infrastructure that power them, to the Kubernetes clusters where AI actually gets trained and served. You'll pick up whatever needs to be done: shipping product features, writing backend services in Go, operating infrastructure, and dogfooding our product relentlessly. We need builders who can move fast across boundaries.

Requirements

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

Nice To Haves

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

Responsibilities

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