Systems Software Engineer, Platform Architecture

Apple

United States2w ago

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Key details

Location
United States
Work style
Onsite
Level
Lead / Staff+
Experience
10–13 yrs
Function
Software engineering
Focus area
Backend
Posted
2w ago

Skills

ai agentsauthenticationbashc++cloud securitydebuggingdnsdockergollmprototypingpythonscriptingsoftware architectureswift

About the role

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job and there's no telling what we can accomplish together.

Do you love crafting elegant cloud solutions to complex challenges? Can you intrinsically see the importance of every detail? At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to build and deploy forward-looking prototype systems that contribute to the development of our world-renowned hardware and software architecture.

Description

Apple’s Platform Architecture group is seeking a systems software engineer who will develop and support new technologies to support best-in-class system prototypes to support cloud, data center, and silicon development. You will work with and support our world leading silicon engineering teams on next generation chips, which end up in the hands of millions of users worldwide.

Minimum Qualifications

BS degree in Computer Science, Computer Engineering, or related engineering field.
Experience with programming (Go, Swift or C++) and scripting (e.g. Python, Bash).
Experience debugging complex systems.

Preferred Qualifications

10+ years of relevant industry experience.
Understanding and practical experience with HTTP, DNS, RPC frameworks, databases, and operating systems.
Good understanding of Cloud security concepts, plus knowledge of Authentication/Authorization frameworks and tools.
Knowledge of containers (Docker, Podman, Apple Container).
Excellent communication, analytical and documentation skills.
Experience using AI Agents or LLMs in software development.
Exposure to Silicon workflows.

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