🌁 Location: San Francisco, in-person only
💰 Salary: $250k - $500k annual salary + 📈 Equity
💻 Languages: 5+ years of experience in Go, Terraform
✅ Skills: Building and managing large clusters, Linux, Networking, Kubernetes, Virtualization
👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.
👉 About the role
You will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.
Your job will be:
Building a distributed system for millions and billions of AI agents running on E2B
Building an orchestrator for placing sandboxes in the right nodes
Adding support for sandbox live migrations
Making sure our self-hosting DX is as smooth as possible (we’re open-source)
Not letting our sandboxes take more than 200ms to start (starting with the user hitting enter)
Scaling to millions and later billions of sandboxes running at the same time
Building an observability stack starting at the kernel level of virtual machines
We’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.
If you aren’t afraid of going into the kernel of a VM and words like Firecracker, eBPF, UFFD, block device, L4 load balancing, noisy neighbor problem, or hugepages sound exciting to you, we want to hear from you!
Top Skills
What We Do
Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox
