3 months ago
Prague, CzechiaSenior
Responsibilities
- Build a distributed system capable of running millions and eventually billions of AI agents on the platform.
- Build an orchestrator that places sandboxes on appropriate nodes and supports sandbox live migrations.
- Improve the self-hosting developer experience for the open-source platform.
- Keep sandbox startup time below 200 milliseconds from user action.
- Scale to millions and later billions of concurrently running sandboxes.
- Build an observability stack starting at the virtual-machine kernel level.
- Optimize infrastructure performance and efficiency across systems, virtualization, scheduling, networking, and multi-tenant isolation.
Requirements
- At least 5 years of experience building distributed systems and operating infrastructure at serious scale, including 100K+ RPS, multi-region systems, or PB-scale data.
- Deep Linux internals expertise, including kernel-level debugging with eBPF, CPU scheduling, memory management, and cgroups v1 and v2.
- Experience with VM hypervisors such as Firecracker, QEMU, or KVM, including virtio, hypercalls, and nested virtualization trade-offs.
- Strong systems programming skills in at least one of Go, Rust, C, or C++, including performance-critical code and technologies such as lock-free data structures, memory-mapped files, or io_uring.
- Production orchestration experience with Kubernetes, Nomad, or custom orchestration systems, including bin-packing, resource scheduling, and noisy-neighbor problems.
- Experience profiling production systems under load, optimizing hot paths, and working with CPU caches, memory locality, and p99 latency.
- Strong networking knowledge covering L4/L7 load balancing, network namespaces, iptables/nftables, and secure isolated multi-tenant network topologies.
- Comfort working on open-source code and infrastructure and contributing documentation and community discussions.
- Preferred experience with userfaultfd, copy-on-write, lazy loading, GPU passthrough, PCIe device virtualization, AI/ML infrastructure, Firecracker or Cloud Hypervisor open-source contributions, or observability at scale.
Benefits
- In-person work with 4 days on-site and 1 day working from home in San Francisco or Prague, Czech Republic
- Full healthcare, vision, and dental insurance
- Unlimited paid time off
About E2B
E2B builds the Agent Cloud—secure, scalable sandboxes and infrastructure for interpreting and running AI‑generated code—delivered via APIs to developers and AI labs building agents. The privately held, Series A company is headquartered in San Francisco and is used by teams behind agents at Groq, ClickUp, and Lindy; its team includes original authors of Firecracker, the AWS microVM technology behind Lambda.