Machine Learning Engineer

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

AI’s ability to solve complex problems across multiple domains is transformative. Here in the machine learning software group. we are building highly optimized on-device AI solutions. We combine high performance software with cutting edge hardware to run deep neural nets with that little computer you keep in your pocket, that car you drive, or that vacuum cleaner you unleash to clean your house. Come join us if you want to work on bleeding edge AI technology. In this position you will build high performance software for AI engines which include Snapdragon Neural Processing Engine, Android NN, and Tensorflow Lite delegate. We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases.

Minimum Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
  
  
  

Responsibilities

• Development of optimization algorithms for ML operators/layers for the Qualcomm AI SW stack
• Development of AI SW stack framework enhancements for optimal resource usage while running a neural network on Qualcomm hardware
• Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
• Evaluating and optimizing neural networks runtime performance and accuracy
• Working with customer teams to enable state of the art network models and new AI SW features to meet customer use-cases
• Collaborating with AI hardware and architecture teams to continuously improve our AI solution
• Being an active contributor to the development process to ensure commercial quality software releases
  
  
  

University grads welcome!

Ideal Candidates Will Demonstrate The Following

• Live and breathe software development with excellent programming capability and analytical, development, and debugging skills
• Curiosity and willingness to continually learn new things and propose new ideas.
• Experience with one or more of: C/C++, Python, Java or Git
• C++ work experience
• Android or embedded Linux software development
• Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPs
• Experience with Python numpy and deep learning frameworks such as Caffe, Caffe, TensorFlow, PyTorch
• Background in mathematical operations: linear algebra, fast math libraries, multi-threading and vector instruction sets
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interests
  
  
  

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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Pay Range And Other Compensation & Benefits

$99,500.00 - $149,300.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers.