Our team has an immediate 8-16-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, intelligent SQL engine, LLM/Agent infrastructure and LLM/Agent Evaluation Technology. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the role:
• Work with architects and engineers to develop proof-of-concept systems and product components for AI-native cloud infrastructure.
• Investigate and design data structures and algorithms for distributed resource scheduling, capacity optimization, and workload placement on modern cloud hardware.
• Continuously enhance data system used for public cloud capacity management and scheduling.
The targeted annual total compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.
About the ideal candidate:
• Bachelor’s, Master’s, or Ph.D. studies in Computer Science, Computer Engineering, Applied Mathematics, Physics, or a related field.
• High proficiency in Go or Rust, with the ability to write clean, maintainable code from scratch.
• Strong understanding of algorithms, data structures, object-oriented design, and operating systems.
• Understanding of distributed databases, storage systems, file systems, memory allocation, or cache systems.
• Strong analytical and problem-solving skills.
• Self-motivation, initiative, and the ability to learn quickly.
• Ability to clearly explain technical concepts, design tradeoffs, and implementation challenges.
• Experience with scheduling algorithms, Linux system-level development, or distributed systems is an asset.
Additional Information：
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.