Neural Engine Modeling Architect, Platform Architecture

Summary

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. In this role, you will be part of the Neural Engine IP architecture team to define, architect, design, implement and deploy models for Neural Engine IP.

Description

As a Neural Engine Modeling Architect, you will be responsible for developing, integrating and maintaining software models for Neural Engine.

Responsibilities

• Define, document and implement C/C++ bit-accurate and transaction level models with SoC and Neural Engine arch teams.
• Collaborate with design and verification teams to define C-model interfaces for validation and debug.
• Develop and maintain architecture test cases and automated workflows to verify the correct functionality of the models.

Minimum Qualifications

• BS degree
• Experience working with C++ and/or SystemC modeling or simulation tools
• Experience in at least one hardware IP: ML HW accelerators or processing units such as GPU, image/video, CPUs, or similar

Preferred Qualifications

• MS or PhD degree
• 20+ years of experience developing models for hardware validation
• Experience developing C++ bit accurate models for hardware verification
• Familiarity with scripting languages such as Perl and/or Python
• Experience working in a chip development environment with RTL designers and verification engineers
• Experience integrating IP models into chip simulation platforms
• Experience debugging complex models