Cloud Ai Infrastructure Senior Engineer At Huawei
Huawei Canada
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.#J-18808-Ljbffr
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
Vacancy posted more than 2 months ago
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