Software Engineer

Meta is investing heavily on the Meta Cloud. As part of this push we want to build a cloud-native infrastructure optimized for AI development. As part of the Meta Compute Initiative, we’re evolving this foundation to support a cloud-native, Kubernetes-first AI infrastructure-including platform primitives like network virtualization, load balancing/service connectivity, and distributed firewall/policy enforcement-at Meta scale. This is a chance to lead architecture and delivery while influencing a broad cross-functional ecosystem, leveraging (and contributing to) open source where it helps us move faster. We build the platform layer and partner closely with the many application teams that run on top., 1. Architect and lead delivery of Meta Compute’s cloud-native host networking platform, owning end-to-end technical direction from design through production rollout

1. Build/modernize Kubernetes networking features integrated with Meta’s host networking stack (e.g., dataplane integration, operability, scaling characteristics)
2. Design and implement core networking primitives: network virtualization, load balancing/service connectivity, and distributed firewalling/policy enforcement
3. Drive time-to-market execution: define milestones, de-risk key technical choices early and deliver iterative production increments
4. Lead broad cross-functional alignment across compute, storage, platform, security, and hardware/fabric partners-owning interfaces/contracts and end-to-end outcomes
5. Leverage and influence open-source ecosystems: evaluate open-source building blocks, contribute improvements where needed, and ensure Meta’s solution is maintainable and operable long-term

1. 10+ years of experience in software development for networking or infrastructure systems, or PhD with 4+ years of experience in a relevant technical area
2. Hands-on Kubernetes networking experience in production (e.g., CNI, Services, NetworkPolicy/policy models, service connectivity/load balancing integration)
3. Proficiency in C/C++ and at least one scripting language (Python/Shell Scripting)
4. Experience with developing and automating test suites
5. Demonstrated experience working across disciplines to align on technical decisions and deliver integrated solutions, 1. Experience collaborating closely with hardware and ASIC design teams, contributing to hardware specifications, co-designing hardware-software interfaces, and influencing silicon feature sets based on software requirements
6. Direct experience with DPU SoC/SmartNIC Platforms
7. Expertise in high-performance networking frameworks and techniques such as DPDK, eBPF/XDP, AF_XDP, io_uring, kernel bypass, zero-copy I/O, and RDMA/RoCEv2
8. Experience building or contributing to Kubernetes operators, controllers, or device plugins that manage hardware-accelerated networking or storage resources
9. Familiarity with Linux networking internals such as netdev subsystem, TC/iptables/nftables, network namespace isolation, traffic shaping, and kernel driver development
10. Experience in hyperscale or cloud-provider environments