Software Engineer

Meta; Menlo Park (CA); On-site; USD 220,000 - 360,000; Full time

Job summary

Meta Cloud is building a cloud-native, Kubernetes-first AI infrastructure at massive scale. We seek a senior architect to lead design and delivery of network, policy, and dataplane software, collaborating across platforms, hardware teams, and open-source communities.

You will shape architecture decisions, drive execution, and influence silicon features for AI workloads. You will partner with application teams to deliver integrated solutions, optimize performance, and advance distributed

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 10+ years of software development for networking or infrastructure systems.
• 4+ years designing and shipping networking dataplane/control-plane systems in production.
• Hands-on Kubernetes networking experience in production.
• Proficiency in C/C++ and at least one scripting language (Python/Shell).
• Experience with developing and automating test suites.
• Demonstrated cross-disciplinary collaboration with hardware/ASIC teams.
• Direct experience with DPU SoC/SmartNIC platforms.
• Expertise in high-performance networking frameworks: DPDK, eBPF/XDP, AF_XDP, io_uring, RDMA.
• Experience building or contributing to Kubernetes operators/controllers or device plugins.
• Familiarity with Linux networking internals.
• Experience in hyperscale or cloud-provider environments.

Skills

Networking design

Kubernetes networking

C/C++

Python/Shell scripting

Test automation

Cross-disciplinary collaboration

Hardware-software co-design

DPU/SmartNIC platforms

DPDK/eBPF/XDP

RDMA

Linux networking

Education

Bachelor's degree in CS/CE or equivalent practical experience

10+ years in networking/infrastructure software

PhD with 4+ years in a relevant area

Tools

Kubernetes

CNI

NetworkPolicy

Docker

IoU/IO_uring

Job description

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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience10+ years of experience in software development for networking or infrastructure systems, or PhD with 4+ years of experience in a relevant technical area4+ years proven experience designing and shipping networking dataplane/control-plane systems in production (e.g., host networking, L4/L7 load balancing, NAT/conntrack, firewalls/policy, network virtualization)Hands-on Kubernetes networking experience in production (e.g., CNI, Services, NetworkPolicy/policy models, service connectivity/load balancing integration)Proficiency in C/C++ and at least one scripting language (Python/Shell Scripting)Experience with developing and automating test suitesDemonstrated experience working across disciplines to align on technical decisions and deliver integrated solutions 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 requirementsDirect experience with DPU SoC/SmartNIC PlatformsExpertise in high-performance networking frameworks and techniques such as DPDK, eBPF/XDP, AF_XDP, io_uring, kernel bypass, zero-copy I/O, and RDMA/RoCEv2Experience building or contributing to Kubernetes operators, controllers, or device plugins that manage hardware-accelerated networking or storage resourcesFamiliarity with Linux networking internals such as netdev subsystem, TC/iptables/nftables, network namespace isolation, traffic shaping, and kernel driver developmentExperience in hyperscale or cloud-provider environments