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Apple GPU Machine Learning Developer Tools Engineer United States, California, Cupertino 843976063
Yesterday
In this role, you'll be responsible for developing new workflows and analysis tools that help machine learning, graphics, and pro app developers debug and optimize their networks for on-device inference for the entire gamut of Apple Silicon SoCs.Building on a strong foundation of computer architecture and operating system fundamentals, data structure and algorithms, you'll write highly efficient code to analyze large models, then creatively design intuitive workflows and visualizations for finding and addressing numerical inaccuracies, performance bottlenecks or other issues.You will be working closely and collaboratively with partners across both software and hardware teams to fully realize the capabilities of Apple's best in class GPUs.
- Technical BS/MS degree / Equivalent Experience.
- Technical expertise in Machine Learning inference using frameworks such as MPS Graph, CoreML, PyTorch, TensorFlow, Keras etc.
- Excellent programming skills and UI frameworks such as SwiftUI, UIKit, AppKit, Qt etc.
- Technical expertise in Swift
- Experience with designing intuitive UI/UX
- Experience developing on-device ML analysis and profiling tools
- Experience with GPU APIs such as Metal, Direct3D, Vulkan or OpenGL
- Technical expertise in the area of GPU performance optimizations or GPU architecture
- Bonus points for C/C++
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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