{"schemaVersion":"jobsearcher.job.v1","id":"74c67e3b8b35c70e5127ffe4","url":"https://jobsearcher.com/jobs/74c67e3b8b35c70e5127ffe4","canonicalUrl":"https://jobsearcher.com/jobs/74c67e3b8b35c70e5127ffe4","title":"Distributed Systems Engineer","description":"About E2B\nE2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.\nAbout the role\nYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.\nYour job will be:\nBuilding a distributed system for millions and billions of AI agents running on E2B\nBuilding an orchestrator for placing sandboxes in the right nodes\nAdding support for sandbox live migrations\nMaking sure our self-hosting DX is as smooth as possible (we’re open-source)\nNot letting our sandboxes take more than 200ms to start (starting with the user hitting enter)\nScaling to millions and later billions of sandboxes running at the same time\nBuilding an observability stack starting at the kernel level of virtual machines\nWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.\nIf 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!\nWhat we're looking for\n7+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory\nDeep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up\nVM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs\nSystems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring\nProduction orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale\nPerformance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what \"p99 latency\" means and care deeply about making it better\nNetworking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems\nLocated in San Francisco or willing to relocate - We work in person as a team and believe in the magic that happens when engineers collaborate face-to-face on hard problems\nExcited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting\nBonus points for:\nExperience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading\nGPU passthrough or PCIe device virtualization experience\nBuilt or maintained infrastructure for AI/ML workloads\nContributions to Firecracker, Cloud Hypervisor, or similar open source projects\nExperience with observability at scale (distributed tracing, kernel-level metrics)\nWhat it’s like to work at E2B\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Perplexity, Hugging Face, and other exciting teams pushing the frontier of AI.\nWe cover full healthcare, vision, and dental insurance, and offer unlimited PTO.\nCompensation Range: $250K - $400K","company":"E2b","rawCompany":"e2b","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T18:49:55.065Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Distributed Systems Engineer","description":"About E2B\nE2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.\nAbout the role\nYou will be building the next cloud platform for running AI software - a cloud where AI apps are building other software apps.\nYour job will be:\nBuilding a distributed system for millions and billions of AI agents running on E2B\nBuilding an orchestrator for placing sandboxes in the right nodes\nAdding support for sandbox live migrations\nMaking sure our self-hosting DX is as smooth as possible (we’re open-source)\nNot letting our sandboxes take more than 200ms to start (starting with the user hitting enter)\nScaling to millions and later billions of sandboxes running at the same time\nBuilding an observability stack starting at the kernel level of virtual machines\nWe’re looking for an infrastructure engineer passionate about making things run fast and efficiently, and running A LOT of them at the same time.\nIf 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!\nWhat we're looking for\n7+ years building distributed systems - You've operated infrastructure at serious scale (100K+ RPS, multi-region, PB-scale data) and understand the trade-offs between consistency, availability, and partition tolerance in practice, not just theory\nDeep Linux internals expertise - You're comfortable working at the kernel level. You've debugged performance issues using eBPF, understand CPU scheduling, memory management, and can explain the difference between cgroups v1 and v2 without looking it up\nVM hypervisor experience - You've worked with Firecracker, QEMU, KVM, or similar. You understand virtio, know what a hypercall is, and have opinions about nested virtualization trade-offs\nSystems programming skills - Strong in at least one of: Go, Rust, C/C++. You've written performance-critical code and know when to reach for lock-free data structures, memory-mapped files, or io_uring\nProduction orchestration experience - You've built or operated orchestration systems (Kubernetes, Nomad, or custom). You understand bin-packing algorithms, resource scheduling, and have dealt with noisy neighbor problems at scale\nPerformance obsession - You've shaved milliseconds off hot paths, understand CPU caches and memory locality, and have profiled production systems under load. You know what \"p99 latency\" means and care deeply about making it better\nNetworking expertise - Strong understanding of L4/L7 load balancing, network namespaces, iptables/nftables, and how to build secure, isolated network topologies for multi-tenant systems\nLocated in San Francisco or willing to relocate - We work in person as a team and believe in the magic that happens when engineers collaborate face-to-face on hard problems\nExcited about open source - Comfortable with our code and infrastructure being public. You contribute to discussions, write clear documentation, and help the community succeed with self-hosting\nBonus points for:\nExperience with userfaultfd (UFFD), copy-on-write mechanisms, or lazy loading\nGPU passthrough or PCIe device virtualization experience\nBuilt or maintained infrastructure for AI/ML workloads\nContributions to Firecracker, Cloud Hypervisor, or similar open source projects\nExperience with observability at scale (distributed tracing, kernel-level metrics)\nWhat it’s like to work at E2B\nWe’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Perplexity, Hugging Face, and other exciting teams pushing the frontier of AI.\nWe cover full healthcare, vision, and dental insurance, and offer unlimited PTO.\nCompensation Range: $250K - $400K","datePosted":"2026-04-12T18:49:55.065Z","dateModified":"2026-04-12T18:49:55.065Z","hiringOrganization":{"@type":"Organization","name":"E2b","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"74c67e3b8b35c70e5127ffe4"},"url":"https://jobsearcher.com/jobs/74c67e3b8b35c70e5127ffe4"}}