Agentic RL Researcher – Distributed Computing at Huawei Technologies Canada Co., Ltd.

Job Description:

Latest job information from Huawei Technologies Canada Co., Ltd. for the position of Agentic RL Researcher – Distributed Computing. If the Agentic RL Researcher – Distributed Computing vacancy in Markham matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Huawei Technologies Canada Co., Ltd. for the position of Agentic RL Researcher – Distributed Computing below matches your qualifications.

Huawei Canada has an immediate permanent opening for a Researcher.

About the team: 

The Distributed Data Storage and Management Lab leads research in distributed data systems, aiming to develop next-generation cloud serverless products that encompass core infrastructure and databases. This lab addresses various data challenges, including cloud-native disaggregated databases, pay-by-query user models, and optimizing low-level data transfers via RDMA. Teams within this lab create advanced cloud serverless data infrastructure and implement cutting-edge networking technologies for Huawei's global AI infrastructure.

About the job:

• Design and develop advanced Agentic Reinforcement Learning (RL) and Multi-Agent Reinforcement Learning (MARL) algorithms for cooperative, competitive, and mixed-agent environments, including CTDE, decentralized learning, and hierarchical agent systems.
• Build scalable simulation and training platforms for large-scale agent systems, supporting self-play, population-based training, curriculum learning, and emergent behavior analysis.
• Optimize multi-agent learning performance on distributed compute clusters, improving sample efficiency, credit assignment, agent coordination, communication learning, and training stability.
• Research and prototype new approaches for multi-agent intelligence, including communication protocols, credit assignment, game-theoretic learning dynamics, meta-learning, and adaptive agent populations.
• Translate cutting-edge research in agentic AI and MARL into production-ready systems for real-world or high-fidelity simulated environments.
• Develop benchmarking frameworks and evaluation metrics for agent coordination, robustness, scalability, and safety.
• Collaborate with research, infrastructure, and product teams to deploy scalable agentic learning systems in real-world applications.
• Contribute to technical leadership and innovation through publications, patents, open-source contributions, and conference presentations.

The total target annual compensation for this position ranges from $106,000 to $156,000 depending on education, experience, and demonstrated expertise.

Job Info:

• Company: Huawei Technologies Canada Co., Ltd.
• Position: Agentic RL Researcher – Distributed Computing
• Work Location: Markham
• Country: CA

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Agentic RL Researcher – Distributed Computing at the office Markham above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.