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Apple AR/VR Job | Deep Learning Hardware Acceleration Engineer

Job(岗位): Deep Learning Hardware Acceleration Engineer

Type(岗位类型): MLAI

Citys(岗位城市): Santa Clara Valley (Cupertino), California, United States

Date(发布日期): 2020-11-5

Summary(岗位介绍)

Are you passionate about enabling unique user experience such as Face ID, Animoji, AR games? Imagine the countless possibilities powered by Artificial Intelligence.

In the Video Engineering team, we are dedicated in providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads.

The Apple Neural Engine compiler team is working on exciting technologies for future Apple products. We're looking for a driven and dedicated engineer to work on the next generation of Apple products.

Qualifications(岗位要求)

Experience with SoC or/and GPU acceleration for AI

Experience with SW/HW parallelism, and asynchronous processing

Experience with embedded systems, and real time OS development

Experience with low level OS/driver programming

Excellent programming skills of C/C++

Excellent software design, problem solving and debugging skills

Good understanding of Deep Learning workloads

Excellent communication and teamwork skills

Description(岗位职责)

You will implement ML algorithms using Apple Neural Engine SoC, with an emphasis on performance and power.

You will add support for new hardware feature into the Apple Neural Engine compiler stack.

You will run performance analysis and optimization of ML workloads running on Apple Neural Engine.

You will evaluate existing hardware blocks and contribute to the definition of new hardware blocks. You will collaborate with the hardware team to review hardware specifications; in addition, you will work closely with the design and micro-architecture team to understand the functional and performance goals of the design, and design appropriate tests.

You will also partner with the driver/firmware teams to integrate HW acceleration in our software stack.

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