Company:Qualcomm Canada ULC

Job Area:Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

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.

Skills / Experience Required:

2+ years of experience with RTOS/Linux firmware/driver development.Good understanding with embedded/computer hardware architecture.Solid hands-on skills and experience on problem solving.Proficient programming skills in C/C++.Machine learning knowledge is a plus.

Preferred Qualifications:

Master's degree in Computer Science, Engineering, Information Systems, or related field.2+ years of experience in embedded system development and optimization.2+ years of experience with C, C++.2+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.Experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras) is a plus.

Principal Duties and Responsibilities:

Develops optimized software to enable AI models deployed on current and future Qualcomm low power AI accelerator, collaborates with team members for joint design and development.Work on low power AI software pre-silicon and post-silicon verification, including simulator development and integration.Work closely with internal and external customers to integrate/enable low power AI software into their product and resolve reported issues.Effective communication across teams, multitasking and well-planned execution of the tasks.

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 disability-accomodations@qualcomm.com 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).

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.