Machine Learning Infrastructure Engineer
Santa Clara Valley (Cupertino),California,United States
Machine Learning and AI
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
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