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Job Information

Qualcomm Machine Learning Engineer in Markham, Ontario

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 : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

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