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Description
As part of the Software Platform team, you will be responsible for writing and designing software tools used by algorithm developers and factory station software engineers responsible for implementing test sequences for testing hardware in the factory. You will work closely with system design leads to understand the software needs for factory test stations and develop software solutions and plugins for instruments used on the station to enable hardware testing of Apple products. Additionally, you will be involved in taking the existing implementation of the algorithm in C++ and writing unit tests using XCTest in Xcode. You will also write smoke and regression tests using your knowledge of Lua and Python. You will collaborate closely with algorithm developers to identify parts of the code that require stress testing and apply various methodologies, such as performance testing, integration testing, and fuzz testing. Furthermore, you will leverage machine learning and LLMs to automatically generate tests for complex parts of the software, ensuring robust coverage based on analysis.
Minimum Qualifications
BS in Computer Science or equivalent experience Strong command of C/C++ and an object-oriented language Experience with white box testing Experience with Xcode and macOS Experience with Lua and Python development Knowledge of image processing and algorithm design Understanding of DSP Up to 10% international travel
Preferred Qualifications
MS in Computer Science or equivalent experience Experience with machine learning and LLMs Experience with performance analysis, stress tests, and scalability assessments Experience with telemetry, critical metrics, and data-driven decision-making Experience crafting tests with complex systems and quickly evolving test environments
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