Deep Learning Hardware Acceleration Engineer
Company: Apple Inc.
Location: cupertino
Posted on: May 3, 2021
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Job Description:
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. Key Qualifications * 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 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. Education & Experience Master's degree or higher in Computer Science or equivalent
field.
Keywords: Apple Inc., Cupertino , Deep Learning Hardware Acceleration Engineer, Other , cupertino, California
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