Silicon Validation Software Engineer - Apple Neural Engine Validation

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you’ll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You’ll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you’ll be responsible for crafting and building the technology that fuels Apple’s devices. Together, you and your team will enable our customers to do all the things they love with their devices!

Description

Are you passionate about changing the world?! We have a critical impact on getting high quality functional products to millions of customers quickly, and we are hiring all levels from junior to senior roles. As part of the silicon validation team, you perform block level, system-level and performance oriented validation of Apple Neural Engine. - Work with logic designers to understand the operation of Apple Neural Engine at the block level, system level and use-case level. - Investigate new use cases, system-level operations, performance requirements and cross-functional features - Develop low-level software to validate functionality, conformance, and performance of Apple Neural Engine - Work with other members of the validation team to incorporate your tests into system-level tests. - Bring-up and debug devices on new hardware platforms.

Minimum Qualifications

A minimum of a bachelor's degree in relevant field and a minimum of 10 years of relevant industry experience in silicon validation software engineering or related field.

Preferred Qualifications

Strong software skills in C/C++. Experience with hardware/software interaction. Background in AI workloads, typical AI network topologies and AI workflows. Embedded software experience is a must. Device driver experience a plus. Previous experience in HW Accelerators for Neural Networks is a plus. Curiosity about writing software to validate the correct operation of hardware.