AI Systems Engineer – Serverless Distributed Computing

Job Description

<p><strong><span ><span >Huawei Canada has an immediate permanent opening for a Software Engineer.<br /><br />About the team: </span></span></strong></p><p><span >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.</span></p><p><strong><span ><span ><br />About the job:</span></span></strong></p><ul><li><p><span >Architect and develop frameworks and engines for next-generation serverless computing tailored to AI workloads (LLM training/inference, agent execution, RL training, etc.).</span></p></li><li><p><span >Analyze and optimize end-to-end AI system performance, including distributed scheduling, data flow, and memory utilization across large clusters.</span></p></li><li><p><span >Research and evaluate cutting-edge technologies in distributed computing, serverless infrastructure, reinforcement learning, and LLM-based AI agents.</span></p></li><li><p><span >Collaborate cross-functionally with research, product, and platform teams to transform conceptual AI agent or RL research into scalable production systems.</span></p></li><li><p><span >Contribute thought leadership through innovation, technical presentations, and patent generation.</span></p></li><li><p><span >Stay ahead of industry trends, assessing emerging tools and frameworks (e.g., Ray, SkyPilot, vLLM, DeepSpeed, Mojo, etc.) to inform team.</span></p></li></ul><p ></p>