Machine Learning Software Engineer

Markham East, ONTARIO | 4 months
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Job Summary

Markham East

$87,000 Average salary of similar jobs | Check Salary...

Job Description

Job Id E1969801
Job Title Machine Learning Software Engineer
Post Date 04/24/2019
Company Qualcomm Technologies, Inc.
Job Area Engineering - Software
Location Canada - Markham
Job Overview Do you want to work in the biggest emerging field of technology since the birth of the Internet? Machine learning is going to change EVERYTHING. As a member of the machine learning group you get to apply your neurons to our neural net processing engine. We combine high performance software with cutting edge hardware to run deep neural nets fast, and we do it with the lowest power on that little computer that you keep in your pocket. Responsibilities: In this position you will be responsible for software development of the neural processing engine (NPE), NPE SDK tools, performance and power optimizations. You will work with neural network frameworks like Caffe, Caffe2 and TensorFlow. Enhance our neural net engine to support the latest and greatest DNNs emerging from the research community, and optimize for next generation hardware acceleration cores. You will also validate the performance and accuracy of the engine through detailed analysis and test coverage.
Minimum Qualifications Live and breathe software development with excellent analytical, development, and debugging skills.
Qualified candidate will have experience with:
Java and/or Python
Minimum 3 years of experience in software development
Android or embedded Linux software development
Preferred Qualifications Additional Assets: Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPs Python numpy Deep learning frameworks Caffe, Caffe, TensorFlow, MxNet, etc. Experience with DNNs, CNNs, RNN/LSTM neural networks Background in mathematical operations: linear algebra, fast math libraries Essential soft-skills are required for this position: Excellent communication skills (verbal, presentation, written) Ability to collaborate across a globally diverse team and multiple interests
Education Requirements Minimum: Bachelor's Computer Science, Computer Engineering, or Electrical Engineering

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