Company:Qualcomm Canada ULC
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
AI's ability to solve complex problems across multiple domains is transformative. Here in the artificial intelligence 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 and many more. We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases.
New PositionResponsibilities:- Own and deliver key aspects of the AI stack and provide solutions that make a difference
- Coordinate development with various teams to ensure a cohesive product
- Ability to work with larger teams to push an idea forward
- 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
- Participate in software quality process improvements
Ideal candidates will demonstrate the following:- 5+ years industry experience
- Enjoy software development with excellent programming capability and analytical, development, and debugging skills
- Curiosity and willingness to continually learn new things and propose new ideas
- C++ expertise and work experience
- Android or embedded Linux software development preferred
- Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPs
- Experience with Python numpy and deep learning frameworks such as 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
Pay range and Other Compensation & Benefits:$131,200.00 - $181,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.
If you would like more information about this role, please contact Qualcomm Careers.
