Co-op Engineer - Distributed Agent System

Job description

Our team has an immediate 12-month Co-op opening for an Engineer.

About the team :

Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, media engines, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.

About the role :

Work with a team of architects and engineers to develop proof-of-concept agent systems and product components.

Investigate and design new data structures and algorithms focusing on distributed computing approaches on the latest and state of the art hardware technology.

Continuous enhancements on the AI-native data analysis system to fulfil system requirements, utilizing AI techniques for public cloud capacity management and scheduling.

Continuous integration with other system to drive a quality overall solution though a combination of automated unit tests, functional testing and system testing of the solution.

Job requirements

About ideal candidate :

Bachelor's in computer science, Computer Engineering, Applied Mathematics or Physics.

High proficiency with Java or Go; must be able to write strong / clean, brand-new code.

Deep understanding of fundamental AI concepts.

Understanding of distributed database / storage system / file system / memory allocation / cache system.

Highly analytical with strong problem-solving skills.

Ability to clearly articulate technical concepts and challenges.

Experience with scheduling algorithm is an asset, Linux system level development and distributed system is an asset.

Self- motivated with a proven ability to learn and take initiative.