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# Software Engineer - Compute Networking

- **Company:** Apple Inc.
- **Location:** Washington, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Border Gateway Protocol, Cloud Computing, Apache CloudStack, Code Review, Computer Networks, Software Debugging, Distributed Systems, Network Protocols, OpenStack, System Programming, System Software, Google Cloud, Concurrency, Parallel Computation, Kubernetes, Information Technology, Restful APIs, Golang
- **Published:** October 3, 2026
- **Apply:** https://www.dice.com/job-detail/98e8a1b7-bfaf-49bf-982d-50d7154773d2

## About the Role

BS with 2+ years of experience in system software development or MS in Computer Science

Strong systems programming skills and knowledge of operating system fundamentals.

Experience with SDN, Overlay networking protocols.

Understanding of Rest APIs / gRPC APIs and a grasp of distributed program concepts.

Fluency in Go (Golang) in a systems context

Strong understanding of concurrency, parallelism and distributed systems concepts.

Ability to effectively communicate within a team and with project stakeholders

Excellent problem solving and analytical thinking skills

Enthusiastic about quality, design, and user experience

Preferred Qualifications

Experience with accelerated networking software like DPDK, OVS , FD.io or FRR.

Understanding of network protocols BGP, VxLAN

Experience with Kubernetes

Experience with using and building cloud technologies such as AWS, Google Cloud Platform, CloudStack or OpenStack

## Description

In this role you will be responsible for developing, debugging, deploying and maintaining Apple cloud's software defined network solutions for various compute platforms. You will

 * Closely collaborate with teams within and across organizations

 * Design, implement, and debug software components

 * Write and review code, generate and review design documentation - Participate in qualifications and rollouts of software to production clusters

 * Benchmark, analyze and improve scale, performance and resiliency issues