Job opportunity
Cloud AI Infrastructure Senior Engineer at Huawei
Huawei Technologies Canada Co., Ltd.
Elevate your career with Huawei Canada as a Senior Engineer focusing on cloud AI infrastructure. This permanent role blends systems engineering, research, and product innovation in a dynamic environment.
As part of the Distributed Scheduling and Data Engine Lab, you will contribute to cutting-edge AI technologies, optimizing large-scale systems and infrastructure for agentic workloads. Key responsibilities include analyzing LLM trends, creating system architectures, and collaborating with engineering teams to deliver impactful infrastructure solutions.
Key Responsibilities:
• Track LLM trends and agent workflows for infrastructure decisions
• Design architectures for multi-model orchestration and inference systems
• Analyze and resolve infrastructure bottlenecks across various components
• Collaborate with cross-functional teams on production solutions
• Evaluate AI workload requirements for cloud and hybrid environments
Requirements:
• Experience in distributed systems or cloud infrastructure
• Proficient with Kubernetes and orchestration platforms
• Practical background in AI/ML systems and inference infrastructure
• Strong programming in Go or C++
• Familiar with LLM serving frameworks like vLLM or Triton
Utilize your skills in AI and cloud technologies to drive innovation at Huawei Canada.
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Apply on source site As part of the Distributed Scheduling and Data Engine Lab, you will contribute to cutting-edge AI technologies, optimizing large-scale systems and infrastructure for agentic workloads. Key responsibilities include analyzing LLM trends, creating system architectures, and collaborating with engineering teams to deliver impactful infrastructure solutions.
Key Responsibilities:
• Track LLM trends and agent workflows for infrastructure decisions
• Design architectures for multi-model orchestration and inference systems
• Analyze and resolve infrastructure bottlenecks across various components
• Collaborate with cross-functional teams on production solutions
• Evaluate AI workload requirements for cloud and hybrid environments
Requirements:
• Experience in distributed systems or cloud infrastructure
• Proficient with Kubernetes and orchestration platforms
• Practical background in AI/ML systems and inference infrastructure
• Strong programming in Go or C++
• Familiar with LLM serving frameworks like vLLM or Triton
Utilize your skills in AI and cloud technologies to drive innovation at Huawei Canada.
#J-18808-Ljbffr