Qualcomm Jobs

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a member of Low Power AI solution team, you will play a critical role at deploying AI models on Qualcomm's low power AI accelerator. The position focuses on mapping high level machine learning operators to low level hardware instructions, involving various optimization techniques: graph transformation, scheduling, memory planning, individual operator implementation, quantization, etc. Your expertise at machine learning is expected to enhance inference efficiency and accuracy of different models on Qualcomm's hardware architecture.

Skills / Experience Required:

• Solid hands-on skills and experience on performance optimization.

• Proficient programming skills in C/C++ Machine learning knowledge is a plus..

• Experience with Linux/Android development environment and tools.

• Familiar with embedded/computer hardware architecture.

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.

Preferred Qualifications:

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

• 3+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).

• 3+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).

• 3+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).

• 3+ years experience working in a large matrixed organization.

• 3+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.

• 3+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).

Principal Duties and Responsibilities:

• Participates in and shares own perspective within domain of machine learning subject matter expertise in design or project reviews, and project meetings.

• Takes responsibility for small projects or owns part of a larger project and completes tasks in a timely manner according to project requirements; seeks assistance when needed to solve problems and helps other team members; collaborates with cross-functional peers on tasks when needed.

• Completes complex tasks and solves issues related to the engineering and management of machine learning data with minimal guidance from more experienced engineers.

• Develops, adapts, or prototypes complex machine learning algorithms, models, or frameworks aligned with and motivated by product proposals or roadmaps with minimal guidance from more experienced engineers.

• Conducts complex experiments to train and evaluate machine learning models and/or software independently.

• Creates and executes complex methods to optimize new or existing machine learning algorithms, models, kernels, and execution frameworks; suggests possible solutions to issues and documents lessons learned.

• Assists with the integration of machine learning algorithms into a platform or product for production; helps resolve issues during implementation.

• Seeks essential knowledge of machine learning industry trends, competitors' products, and advances within area of expertise from publicly available information and research; shares this information with others on the team.

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.

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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