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. In the AI Software team, we build the Qualcomm AI Engine direct to enables OEMs and developers to run their deep neural network (DNN) models on Qualcomm Hexagon Processors. Our team works with OEMs and developers to develop and optimize DNN models for the Qualcomm AI Stack.

We are building optimized on-device AI stack with cutting edge hardware to run deep neural networks with that phone 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 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 and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Science, Engineering, Information Systems, or related field.

Duties and Responsibilities:

• Development of modern C++17 software library for Qualcomm Hexagon Processors

• Design and performance tune modern C++17 code for systems such as Windows, Android, embedded Linux and QNX

• Development of model analyzing tools for the internal and external customers

• Use cross compiler toolchains for systems such as Windows, Android, embedded Linux and QNX

• Address issues found in existing and past Qualcomm AI products

• Implement and optimize modern C++17 machine learning operations on Hexagon Processors

• Debug customer machine learning use cases executing on Qualcomm AI Stack

• Communication across globally diverse team

• Participate in software quality process improvements

Preferred Qualifications

• Three or more years of relevant work experience

• Experience with modern C++17 language features

• Background in mathematical algorithms using fast math libraries and vector instructions sets

• Practical experience with developing middleware or firmware software

• Experience with multitasking and multithreading driver development

• Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems

• Familiarity with TensorFlow, PyTorch or ONNX

• Experience with tools such as git, Linux, JIRA and Docker

• Knowledge of design patterns

Other Notes

• Our team does not work in data science, build models or train models

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 myhr.support@qualcomm.com or call Qualcomm's toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) . 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.

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.

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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