Neural Engine Modeling Architect, Platform Architecture
Summary
Architects, develops, and maintains software models for Apple's Neural Engine hardware IP within the Platform Architecture team, collaborating with RTL designers and verification engineers on chip development. Core technologies are C++/SystemC modeling and simulation for ML accelerator hardware.
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.
As a Neural Engine Modeling Architect, you will be responsible for developing, integrating and maintaining software models for Neural Engine.
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