Software Engineer - Infrastructure Services, Data Plane

Summary

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.” Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. Infrastructure Services is part of IS&T and the foundation of Apple's global network operations — managing data center equipment and systems to deliver compute, storage, and networking services for teams across Apple, including its internal developer community. From individual facilities to a worldwide network, Infrastructure Services ensures the technology underneath everything works without question.

Minimum Qualifications

Strong proficiency in systems programming languages such as C++, Go, or C (experience with Java or modern scripting languages like Python is also valued). Solid foundation in Computer Science fundamentals: advanced data structures, algorithms, memory management, and concurrency. Deep knowledge of Networking Fundamentals & Dataplane internals: L2–L4 protocols, TCP/IP stack behavior, packet framing/encapsulation, routing, MTU/MSS, flow tables, and QoS/traffic shaping. Experience with source control (Git) and modern build/configuration management tools. Experience designing and optimizing scalable network data plane components, packet forwarding paths, or kernel/userspace networking subsystems. Understanding of microservice architectures, asynchronous communication, and API design (REST, gRPC, Protobuf). Proven ability to analyze and debug complex live production incidents under pressure using metrics, traces, and system logs. Strong communication and cross-functional collaboration skills with the drive to take ownership and lead projects to closure.

Preferred Qualifications

Experience with kernel-bypass/accelerated packet processing technologies (e.g., DPDK, XDP, eBPF, VPP, OVS or P4). Familiarity with hardware offload architectures (SmartNICs, ASICs) and network virtualization. Hands-on experience developing large-scale distributed cloud infrastructure services.

Description

We are looking for passionate engineers who love building super-scalable, reliable, and high-performance systems to support one of the world’s largest cloud infrastructures. In this role, you will design, build, and operate next-generation services that power virtualized networks, computing, and storage. Operating at our global scale presents unique challenges that demand radical engineering innovations. If you are excited about working close to the packet, optimizing line-rate forwarding pipelines from scratch, and solving complex distributed systems problems, our team is the place for you.

Responsibilities

Dataplane Architecture & Development: Design, implement, and optimize high-throughput, ultra-low-latency packet processing systems, forwarding engines, and overlay network services (e.g., VXLAN, Geneve, NAT, Load Balancing). System Design & High-Performance Coding: Build modular, resilient, and performant systems leveraging efficient data structures, lock-free concurrency, and hardware/software acceleration. Control Plane Integration: Collaborate closely with control plane and distributed systems teams to build clean, performant APIs (gRPC, REST) for state distribution and policy enforcement. Operational Excellence & Incident Triage: Maintain line-of-sight on production health; debug live incidents using packet captures, telemetry, metrics, and logs to identify root cause and implement long-term mitigations. Automation & Delivery: Utilize modern CI/CD, Git workflows, and configuration management tools to reliably deliver software against bold deadlines.