Qualcomm Machine Learning Engineer 

Canada, Ontario, Markham 

238241798

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

Minimum Qualifications:

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

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

Ideal candidates will demonstrate the following:

• 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

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.