Senior Principal Researcher & Technical Leader – Agentic RL for Distributed Computing

Huawei Canada has an immediate opening for a Senior Principal Researcher & Technical Leader to lead technical innovation and exploration of AI infrastructure distributed systems for reinforcement learning and multi-agent systems. The ideal candidate will have strong expertise in reinforcement learning algorithms, particularly in multi-agent settings, and solid foundations in optimization, probability, and game theory.

Requirements

• Lead and define the architectural evolution of Agentic RL and MARL for cooperative, competitive, and mixed-agent environments
• Lead the construction of simulation and training substrates for ultra-large-scale agent systems
• Drive the optimization of agent learning performance on distributed clusters
• Decide on frontier research pathways for multi-agent intelligence
• Direct the translation of cutting-edge Agentic AI and MARL research into production-grade distributed systems
• Establish industry-leading benchmarking standards and evaluation frameworks for agent coordination, robustness, scalability, and safety
• Bridge research, infrastructure, and product teams to lead the deployment and application of large-scale agentic learning systems in real-world business scenarios
• Champion the team’s technical leadership in global academia and industry through high-impact publications, patents, and open-source contributions
• Continuously track and evaluate technical advancements in Agentic AI and large-scale distributed systems to inform long-term corporate technology strategy

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and infrastructure