Qualcomm Sr. Engineer - Machine Learning Software in Markham, Ontario
Qualcomm Canada ULC
Engineering Group, Engineering Group > Machine Learning Engineering
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.
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
• 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.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field.
Ideal candidates will demonstrate the following:
2-3 years’ software development industry experience
2+ years software engineering, hardware engineering, systems engineering, or related work experience
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.
Industry experience with C/C++,
Some experience with Python and Git
Bachelor's Computer Science, Computer Engineering, or Electrical Engineering
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
Qualcomm is committed to hiring and supporting individuals with disabilities. Although this role has some expected physical activity, an inability to perform one or more of the listed physical requirements should not deter otherwise qualified applicants from applying. We will work with you throughout the application and onboarding process to provide reasonable accommodations. Examples of expected physical activity include: frequently transporting between offices, buildings, and campuses up to ½ mile; frequently transporting and installing equipment up to 5 lbs.; performing tasks at various heights (e.g., standing or sitting); monitoring and utilizing computers and test equipment for more than 6 hours a day; and continuous communication which includes the comprehension of information with colleagues, customers, and vendors both in person and remotely.
Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
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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.
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