Qualcomm Engineer Staff AI/Machine Learning - Autonomous Driving 

Canada, Ontario, Markham 

146640646

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

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.

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.

PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities:

• Development of end-2-end embedded AI SW stack to run neural network models on Qualcomm leading edge hardware with optimal resource usage

• Design and enhance the implementation of ML/AI compilers, kernels, and runtime software to improve performance and power efficiency

• Collaborating with AI Processor Hardware team and high quality implementation of new ML operators/layers to optimal utilizing new capabilities in next-gen AI processor

• Development of debugging/profiling tools and user-friendly SDK for customers to rapid deployment of their new use cases

• Challenging the status quo and driving innovations to be the best-of-class

Preferred Skills and Experience:

• Excellent programming capability with low level C/C++ Strong software design, development, and debugging skills

• Optimized Linux, Android, or embedded software development experience

• Optimization of algebraic operations in algorithms for HW cores

• Experience on compiler design and development is a big plus

• Knowledge on deep learning and popular frameworks is an asset

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.