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Job Description & How to Apply Below
Huawei's Distributed Scheduling and Data Engine Lab is seeking a Senior Engineer to contribute to their pioneering research and development efforts. The role encompasses analyzing infrastructure bottlenecks and crafting system-level architectures tailored for AI workloads. Collaboration with experts allows you to prototype infrastructures informed by cutting-edge trends in AI and cloud native frameworks.
Key Responsibilities:
• Design scalable architectures for AI and multi-model workflows
• Track trends in LLMs and optimize system performance
• Evaluate AI workload needs across hybrid infrastructures
• Collaborate with product teams for effective solution delivery
• Address bottlenecks in data movement and GPU utilization
Requirements:
• Strong background in systems engineering or distributed systems
• Proficiency with orchestration platforms like Kubernetes
• Experience in AI/ML workflows and training inference
• Programming expertise in Go or C++
• Research-oriented with strong analytical capabilities
Shape the future of cloud AI technologies and infrastructure at Huawei Canada.
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Position Requirements
10+ Years
work experience
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