Sr. Engineer

Company:Qualcomm Canada ULCJob Area:Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:Note:Our team does not work in data science, build models or train modelsGeneral 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.Duties and Responsibilities:Development of modern C++17 software library for Qualcomm Hexagon ProcessorsDesign and performance tune modern C++17 code for an embedded systemDevelopment of model analyzing tools for the internal and external customersUse cross compiler toolchains for embedded systems such as Android, embedded Linux and QNXAddress issues found in existing and past Qualcomm AI productsImplement and optimize modern C++17 machine learning operations on Hexagon ProcessorsDebug customer machine learning use cases executing on Qualcomm AI StackCommunication across globally diverse teamParticipate in software quality process improvementsPreferred Qualifications:Three or more years of relevant work experienceExperience with modern C++17 language featuresBackground in mathematical algorithms using fast math libraries and vector instructions setsPractical experience with developing middleware or firmware softwareExperience with multitasking and multithreading driver developmentExperience with Hexagon DSP SDK or cross compiler toolchains for embedded systemsFamiliarity with TensorFlow, PyTorch or ONNXExperience with tools such as git, Linux, JIRA and DockerKnowledge of design patternsMinimum 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. ORMaster'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. ORPhD in Computer Science, Engineering, Information Systems, or related field 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- 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.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.