Engineer - Machine Learning Software

Job content

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

Job Description Summary

General Summary:

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.

Responsibilities

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

Additional Preferred Qualifications

New grads welcome!

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.

Experience with one or more of: C/C++, Python, Java or Git

C++ work experience

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

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
  
  

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

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.