Data Plane Engineer: Ultra-Low-Latency Networking

Apple Inc.

San Francisco (CA)

On-site

USD 150,000 - 278,000

Full time

14 days+
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Job summary

Apple Inc. in San Francisco, CA is seeking a Software Engineer for Infrastructure Services (Data Plane) to design, build, and operate ultra-fast packet processing systems powering Apple’s cloud-scale network infrastructure.

You will work on dataplane architecture, high-performance coding, and API design, collaborating with control plane teams to deliver scalable, reliable services at global scale. Strong systems programming skills required.

Qualifications

  • Strong proficiency in systems programming languages (C++, Go, or C) with Python as a valued addition.
  • Solid CS fundamentals: advanced data structures, algorithms, memory management and concurrency.
  • Deep knowledge of Networking Fundamentals and dataplane internals, TCP/IP, QoS, and packet processing.

Responsibilities

  • Dataplane Architecture & Development: design and optimize high-throughput, low-latency packet processing systems.
  • System Design & High-Performance Coding: build modular, resilient, and performant systems.
  • Control Plane Integration: develop APIs (gRPC, REST) for state distribution and policy enforcement.
  • Operational Excellence & Incident Triage: debug production issues with telemetry and logs.
  • Automation & Delivery: use CI/CD, Git workflows, and config management for rapid releases.

Skills

C/C++/Go
Networking fundamentals
APIs (REST/gRPC)
Concurrency
System design
Troubleshooting

Tools

Git
DPDK/XDP
Kernel bypass

Job description

Apple Inc. in San Francisco, CA is seeking a Software Engineer for Infrastructure Services (Data Plane) to design, build, and operate ultra-fast packet processing systems powering Apple’s cloud-scale network infrastructure.

You will work on dataplane architecture, high-performance coding, and API design, collaborating with control plane teams to deliver scalable, reliable services at global scale. Strong systems programming skills required.

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