Intern Researcher - AI/ML Technology Insight and Planning

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

• Stay up-to-date with the latest technology trends and research achievements in the industry and academia within the AI/ML domain, generating insightful technology reports. 

• Drive the evaluation and adoption of cutting-edge AI/ML technologies and methodologies.

• Collaborate with stakeholders and cross-functional teams to develop strategic technical plans in the development and implementation of AI/ML project. 

• Foster a culture of innovation and continuous improvement within the AI/ML team.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000- $104,000 depending on education, experience, and demonstrated expertise.

• Master/PhD in Computer Science, Engineering, or a related field, focusing on AI & Deep Learning with solid publication records. 

• Demonstrated solid foundation of understanding and navigating complex technical landscape. 

• Demonstrated technical research and development experience in AI/ML domains.

• Experience in heterogeneous (CPU/GPU/NPU) computing, high performance AI computing architecture, Big Data and Graphic Processing is an asset.

• Possession of a keen sense of technology, enabling the ability to gather first-hand insights and stay abreast of the latest industry trends.

• Strong communication and presentation skills, facilitating effective collaboration with diverse internal and external stakeholders.

Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.