Technical Leader – AI System & Infrastructure

Job title: Technical Leader – AI System & Infrastructure

Company: Huawei


Job description: Huawei Canada has an immediate permanent opening for an Engineer.About the team: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.About the job:Understand AI System and Infrastructure technology landscape, and identify scalability/performance issues or challenges of current LLM/multi-modal LLM systemsInitiate and charter innovation projects to build or re-architect AI infrastructure platform, and plan milestones accordinglyProvide/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.The base salary for this position ranges from $160,000 to $220,000 depending on education, experience and demonstrated expertiseAbout the ideal candidate:Master/PhD degree in Computer Science, Computer EngineeringTechnical Leadership ExperienceExperience in building large scale and high-performance distributed systemExperience in Nvidia TensorRT and/or Triton servers. Experience in container virtualization technologiesKnowledge & experience in distributed system design & development, including serverless technologiesWork 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

Expected salary:

Location: Vancouver, BC

Job date: Thu, 08 May 2025 04:55:49 GMT

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