- Apple
- Herzliya, Tel-Aviv District
- Full-Time
- 23 days ago
Backend SW Engineer.
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Backend SW Engineer: our view in 3 lines...
- The Role:This role is for a software engineer building internal backend tools for Apple’s storage products using low-level programming languages.
- The Person:The person will develop internal backend tools in the low-level domain, bridge low-level and high-level environments, and integrate AI-powered capabilities for engineers.
- Requirements:The ideal candidate has 2+ years of software development experience, proficiency in C, C++, and Python, strong Object-Oriented programming skills, and a B.Sc or M.Sc in Computer Science or an equivalent field.
About the role
The people here at Apple don’t just build products — they craft the kind of wonder that’s revolutionised entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
Do you love crafting elegant solutions to highly sophisticated challenges? Do you intrinsically see the importance in every detail?
Description
The team develops internal tools in the low-level domain, primarily using C/C++ and Python.
Their work is more on the backend side, bridging low-level and high-level environments, and increasingly integrating AI-powered capabilities to make these tools more efficient for engineers.
They support Apple's storage products and operate at the intersection of these domains — a critical function that requires strong multitasking, context switching, and collaboration with teams both in Israel and abroad.
Minimum Qualifications
2+ years of software development experience.
Experience & proficiency in C, C++, Python
Strong Object-Oriented programming skills
B.Sc/M.Sc in Computer Science or an equivalent field
Preferred Qualifications
Excellent communication, presentation, interpersonal, and organizational skills
Proven ability to meet deadlines and drive results while juggling many priorities under tight timeframes

