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

About the role

Huawei Canada’s Distributed Data Storage and Management Lab is seeking a senior technical leader to define the next‑generation AI infrastructure for Agentic Reinforcement Learning and Multi‑Agent Systems. The role will drive the design of a high‑performance C++ substrate that replaces the current Python‑heavy stack and will shape the strategic direction of distributed AI workloads.

Key responsibilities

• Lead the architectural evolution of Agentic RL and multi‑agent reinforcement learning platforms, including centralized training‑decentralized execution, hierarchical learning, and self‑play standards.
• Design and build large‑scale simulation and training substrates for ultra‑large agent populations, establishing global benchmarks for population‑based training and curriculum learning.
• Optimize agent learning performance on distributed clusters, addressing sample efficiency, credit assignment, and communication learning at scale.
• Translate cutting‑edge research into production‑grade distributed systems, ensuring robust deployment in real‑world and simulated environments.

Required profile

• MS or PhD in Computer Science, Electrical Engineering or a related field with a focus on Reinforcement Learning, Multi‑Agent Systems or Distributed AI.
• Demonstrated impact through top‑tier publications, patents, open‑source contributions or production ML systems in RL or large‑scale AI.
• Experience building scalable RL training infrastructure, including distributed roll‑outs, large‑scale simulation and experiment pipelines.

Required skills

• Strong programming proficiency in Python.
• Strong programming proficiency in C++ for high‑performance and distributed systems.