Posting record
Open 13+ days
- Already up when Ghostless started watching Huawei Canada
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Huawei Canada, so its true age is longer.
Last checked Nov 3, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 5+ years of experience
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Huawei Canada has an immediate permanent opening for a Principal Software Engineer.
About the team
Established in 2014, the Distributed Scheduling and Data Engine Lab is Huawei Cloud's technical innovation center in Canada. The lab focuses on researching and developing advanced cloud technologies, supporting the productization and iterative optimization of its technical achievements. Current research areas include cloud multi-agent system, cloud native databases, infrastructure resource scheduling and prediction, cloud-native middleware, and user experience studies. The lab fosters a robust technical environment, allowing collaboration with industry experts to create a highly competitive cloud platform.
About the job
- Lead end-to-end design and deployment of multi-agent evaluation systems on cloud platforms, explore and implement agent coordination strategies, such as reinforcement learning, hierarchical planning, or emergent communication.
- Design, build, and scale next-generation AI Multi-Agent systems to enable intelligent collaboration, planning, and autonomous execution.
- Stay ahead of AI agent research trends, integrating new models, techniques, and orchestration methods to push technical boundaries.
- Collaborate closely with a global team of experts, including AI researchers, to integrate advanced AI features into existing solutions.
- Analyze, investigate, and implement GenAI solutions for Cloud Service features and technologies focusing on Agentic Orchestration and Agent Builder frameworks.
- Conduct technical research and implementation and assist in development and deliveries.
- This role involves overseas travel
About the ideal candidate
- 5+ years of professional experience in AI-related fields, including deep learning, NLP, and Gen AI, with 2 years focused on designing and deploying production-grade agentic AI solutions, as well as hands-on expertise with cloud platforms (AWS, Azure, etc.)
- Proven experience designing or orchestrating AI Agent workflows, including Agentic Orchestration and Multi-Agent Collaboration.
- Expertise in Deep Learning for NLP, including architectures like RNN, LSTM, GRU, and frameworks such as PyTorch or TensorFlow.
- Proficiency in Generative AI techniques — Transformers, LLM fine-tuning, (Graph) RAG, and Vector Databases.
- Deep understanding of Large Language Models (LLMs) and their application in agentic reasoning and automation.
- Strong foundation in algorithms, data structures, and object-oriented programming, with proficiency in Python.
- Excellent communication and organization skills, attention to detail, and with the ability to manage complex projects in a fast-paced environment.
- Master’s degree in computer science, Artificial Intelligence, or a related field; PhD degree is an asset.
Something wrong with this posting?