Neural Engine Hardware Engineer, Platform Architecture

Neural Engine Hardware Engineer, Platform Architecture

At Apple, Platform Architecture is responsible for connecting our hardware and software into one unified system. Join this team, and you'll collaborate with engineers across Apple to design how all of our technologies work in unison. We are looking for a Neural Engine HW Engineer who will help us build future hardware platforms for intelligent mobile devices.

Description

In this highly visible role, you’ll work with other architects building the next-generation Neural Engine — a custom HW engine behind iOS CoreML framework. You’ll work with SW/applications team on driving future requirements on machine learning/computer vision applications, prototype them in C++/Python, write architecture spec, and work with SW/HW design teams for SW/HW implementation. Experience with machine learning algorithms/applications is desired.

Minimum Qualifications

• Experience writing machine learning algorithms, such as convolutional neural network, Transformer and their applications in LLM and image/video processing.

Preferred Qualifications

• Expertise in HW architecture, computer architecture, GPU architecture.
• Experience in compilers — scheduling, register allocation — is a big plus.
• Demonstrated programming skills in C++/C and Python.
• Knowledge in image processing, camera pipeline, computational photography and natural language processing is a plus.
• Communication skills and ability to work across various groups.
• Understanding the system implications of aforementioned algorithms in terms of performance and power on a given HW architecture.
• Experience with analyzing ML workloads on different HW architecture — profiling and identifying the performance bottleneck in the system, coming up with suggestions for performance improvement either at algorithm, SW or HW level.
• M.S or Ph.D preferred.

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