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Huawei Senior Principal Technical Leader
Job Description & How to Apply Below
You will define and lead architectural strategies for Agentic Reinforcement Learning, boosting performance through innovative design.
Your role includes connecting academia and industry, fostering collaboration to address core challenges in distributed systems.
Key Responsibilities:
• Define architecture for high-performance agent systems
• Lead the construction of agent training substrates
• Evaluate advancements in distributed systems
• Engage with North American academic resources
• Publish impactful research and support open-source initiatives
Requirements:
• Advanced degree in Computer Science or related area
• Expertise in reinforcement learning algorithms
• Strong programming background in Python and C++
• Experience with scalable, distributed ML systems
• Proven track record of publications and patents
Pioneer AI innovations as you lead technical efforts at Huawei, shaping the future of distributed infrastructure.
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Position Requirements
10+ Years
work experience
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