24 days old

Machine Learning Infrastructure Engineer

Cupertino, CA 95014
  • Job Code
    200208007
Summary

Summary

Posted: Nov 18, 2020

Weekly Hours: 40

Role Number:200208007

The Special Projects Group is looking for a senior software engineer to join our team to work on compute archit...Summary

Summary

Posted: Nov 18, 2020

Weekly Hours: 40

Role Number:200208007

The Special Projects Group is looking for a senior software engineer to join our team to work on compute architectures for accelerated machine learning on embedded platforms. We are looking for experienced developers who are excited to learn new skills to solve new challenges!

Key Qualifications

  • Required Experience:
  • Excellent coding skills in C/C++
  • Debugged complex and layered software stacks
  • Working cross functionally with multiple engineering teams
  • Working with tight schedules and rapid development cycles
  • Track record of shipping products
  • Desired Experience:
  • Programming for embedded systems
  • GPU compute technologies (e.g., Metal, CUDA, OpenCL)
  • Machine learning /DNN tools (CoreML, TensorFlow, PyTorch, TensorRT etc.)
  • Using or implementing compiler frameworks such as LLVM
  • Writing robust, safety-critical, efficient code

Description

As a senior engineer on our team you will be responsible for designing and implementing toolchains and runtimes for machine learning acceleration on embedded systems. In this role you will work with other ML technology teams at Apple to deliver custom solutions for unique challenges. We are looking for someone who collaborates effectively on a team, and thrives in a fast-paced, highly fluid environment.

Education & Experience

BS/MS/PhD in Computer Science or equivalent

Additional Requirements

Posted: 2021-01-03 Expires: 2021-02-02

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Machine Learning Infrastructure Engineer

Apple, Inc.
Cupertino, CA 95014

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