Job description
Huawei Canada has an immediate permanent opening for a Software Engineer.
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:
Architect and develop frameworks and engines for next-generation serverless computing tailored to AI workloads (LLM training/inference, agent execution, RL training, etc.).
Analyze and optimize end-to-end AI system performance, including distributed scheduling, data flow, and memory utilization across large clusters.
Research and evaluate cutting-edge technologies in distributed computing, serverless infrastructure, reinforcement learning, and LLM-based AI agents.
Collaborate cross-functionally with research, product, and platform teams to transform conceptual AI agent or RL research into scalable production systems.
Contribute thought leadership through innovation, technical presentations, and patent generation.
Stay ahead of industry trends, assessing emerging tools and frameworks (e.g., Ray, SkyPilot, vLLM, DeepSpeed, Mojo, etc.) to inform team.
The total target annual compensation for this position ranges from $127,000 to $225,000 depending on education, experience, and demonstrated expertise.
Job requirements
About the ideal candidate:
PhD with research background in LLM systems, RL, AI agents, or distributed computing, or MS in Computer Science, Electrical Engineering, or related field with 3–4 years of AI industry experience.
Strong system design and software engineering skills, including experience with C++ or Python, concurrency, performance tuning, and large-scale distributed systems.
Proven expertise in one or more of the following areas:
o AI system architecture — LLM training/inference pipeline optimization, multi-agent orchestration, or reinforcement learning frameworks.
o Serverless / distributed infrastructure — autoscaling, resource scheduling, fault recovery, or cloud-native microservices.
Ability to lead complex technical projects, mentor peers, and deliver solutions with measurable impact.
Publications, open-source contributions, or patents in AI systems, RL, or distributed computing is an asset.
Familiarity with GPU cluster management, model parallelism, or memory-optimized inference (e.g., KVCache, offloading strategies) is an asset.
Demonstrated ability to bridge research and engineering, bringing experimental AI methods into production-grade systems is an asset.
Additional Information:
Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.
All applications for this position are reviewed directly by our hiring team, we do not use artificial intelligence tools to screen or select candidates.
AI Systems Engineer – Serverless Distributed Computing • Markham, Ontario, CA
We are seeking highly motivated and skilled systems engineers to join our team to help in developing an AI Platform that offers an efficient infrastructure for inference and training large scale mo... Show more
Be part of Autodesk's evolution with the role of Senior Software Engineer in the hybrid model.Focus on building scalable AI-driven data systems based in the San Francisco Bay Area.As a key member o... Show more
Get AI-powered advice on this job and more exclusive features.We’re building an AI intelligence infrastructure embedded inside a B2B platform used by consumer brands to manage creative work, assets... Show more
A technology company seeks a Software Engineer, AI to join their Toronto team.In this role, you will design and implement AI-powered retrieval systems, using your backend expertise and understandin... Show more
We are currently seeking a Agentic AI Systems Developer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA).You will design and build agentic AI systems for healthcare using the Neur... Show more
Role: GenAI Engineer with a Data Engineering background and experienced in building Generative AI solutions in Cloud environment.Job Posting Description: GenAI engineer –.Looking for a GenAI Engine... Show more
Lead the charge as a Solution Engineer specializing in agentic AI solutions.Collaborate directly with clients to design impactful workflows that enhance customer interactions through automation.As ... Show more
Empower AI solutions by managing data integration as a Data Engineer.Focus on designing systems that enable autonomous AI agents to interact seamlessly within enterprise frameworks.This key role de... Show more
Elevate your career as a Context Engineer, focusing on AI systems for the wealth management sector.You'll design and implement LLM-driven features that provide reliable service for financial adviso... Show more
A leading digital commerce platform provider based in Toronto is seeking a Forward Deployed Engineer to partner with product managers and customers to prototype AI-driven solutions.This role involv... Show more
Become a key player in AI technology as a Performance Engineer focused on enhancing software performance and system optimizations for ML applications.Work within an innovative Runtime Team to push ... Show more
We are currently seeking a Agentic AI Systems Developer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA).You will design and build agentic AI systems for healthcare using the Neur... Show more
Betstamp is the future of sports betting.We were founded in 2020 to make sports betting easy and accessible to everyone, while also improving your odds of winning your bets.Our team is dedicated to... Show more
Join Gatekeeper to empower compliance-driven organizations as a Solutions Engineer specializing in customer success.This fully remote role allows you to help clients leverage innovative AI features... Show more
Lead the development of advanced AI inference systems as a Principal Engineer.Design and implement robust platforms for agentic functionality across multiple data modalities.In this pivotal role, y... Show more
A leading tech company is seeking a Research Engineer specializing in decentralized AI systems.The role involves designing efficient workload orchestration for AI applications across a global netwo... Show more
We are currently seeking a Agentic AI Systems Developer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA).You will design and build agentic AI systems for healthcare using the Neur... Show more
Ecopia Tech is hiring a Backend Engineer in Toronto, offering a hybrid work environment.Contribute to advanced AI solutions using geospatial data.As part of our platform team, the Backend Engineer ... Show more
Engage in a transformative role as a remote AI Systems Evaluation Engineer with a leading enterprise client.This contract position centers on enhancing advanced AI systems through rigorous human fe... Show more
A North American software provider is seeking a Senior Developer to design and build AI-native systems that impact business outcomes.The role emphasizes collaborative system design and engineering ... Show more
