Co-op Software Engineer - AI System & Infrastructure
About The Position
Huawei Canada has an immediate Co-op opening for an Engineer. The Intelligent Cloud Infrastructure Lab aims to innovate technologies, algorithms, systems, and platforms for next-generation cloud infrastructure. The lab addresses scalability, performance, and resource utilization challenges in existing cloud services while preparing for future challenges with appropriate technologies and architectures. Additionally, the lab aims to understand industry dynamics and technology trends to create a robust ecosystem. This role involves understanding the AI System and Infrastructure technology landscape, identifying scalability/performance issues or challenges of current LLM/multi-modal LLM systems. The engineer will initiate and charter innovation projects to build or re-architect AI infrastructure platforms and plan milestones. They will provide/contribute a scalable and high-performance architecture design or re-design for the infrastructure system optimized for AI training and inferencing, including cluster management and scheduling, LLM model deployment, elastic LLM, and AI container cold/warm start-up optimization. Collaboration with internal and external teams is key to deliver project features that improve overall system scalability and performance.
Requirements
- Bachelors, Master/PhD degree in Computer Science, Computer Engineering
- Experience in building large scale and high-performance distributed system
- Experience in Nvidia TensorRT and/or Triton servers.
- Experience in container virtualization technologies
- Knowledge & experience in distributed system design & development, including serverless technologies
- Work experience in one or more of the following technologies: vLLM, Ray, SGLang, Kubernetes, TensorRT-LLM, Pytorch framework, Cuda libraries, GPU technologies
- Work experience in one or more of the following programming languages: C/C++, Go, Java, Rust, python, C#
- Have excellent interpersonal and communication skills to collaborate with multiple teams and build strong partnerships effectively
- Demonstrated success working on software engineering problems that span multiple products
Responsibilities
- Understand AI System and Infrastructure technology landscape, and identify scalability/performance issues or challenges of current LLM/multi-modal LLM systems
- Initiate and charter innovation projects to build or re-architect AI infrastructure platform, and plan milestones accordingly
- Provide/contribute a scalable and high-performance architecture design or re-design for the infrastructure system that is optimized for AI training and inferencing, which includes but not limited to cluster management and scheduling, LLM model deployment, elastic LLM as well as AI container cold/warm start-up optimization, and so on.
- Collaborate with internal and external teams to deliver the project or project features that improve our overall system scalability and performance.
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What This Job Offers
Career Level
Intern
