Huawei Canada

www.huawei.com

2 Jobs

1,790 Employees

About the Company

Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We are committed to bringing digital to every person, home and organization for a fully connected, intelligent world. We have approximately 197,000 employees and we operate in over 170 countries and regions, serving more than three billion people around the world.

In Canada, Huawei conducts innovative and leading edge research in 5G technologies, along with advanced development of emerging cloud, device and network technologies & services. While our renowned Canada Research Centre in the thriving technology landscape of Ottawa, Ontario continues to grow rapidly in size and strategic product initiatives, additional presence has also been established across Canada with R&D facilities in Vancouver, Edmonton, Waterloo, Markham, Montreal, and a R&D office in Quebec City.

Listed Jobs

Company Name: Huawei Canada
Job Title: Senior Researcher - AI Data & Storage
Job Description: Job title: Senior Researcher – AI Data & Storage Role Summary: Conduct applied research and prototype AI‑optimized data engine and storage architectures to accelerate large‑scale AI training and inference, integrating high‑performance software across data, metadata, and AI pipelines. Expectations: Deliver innovations that reduce bottlenecks in the ML pipeline, publish findings at top‑tier venues, and collaborate with global teams to transition prototypes into production systems. Key Responsibilities: - Design, prototype, and evaluate novel AI data engines and storage architectures for large‑scale AI workloads. - Build and implement high‑performance components for data lineage, versioning, and automated lifecycle management of AI assets. - Optimize the data plane for AI infrastructure: distributed dataset shuffling, fast checkpointing, model & KV cache loading/unloading, and low‑latency metadata serving at billions of entities. - Develop system software that tightly integrates AI storage, data, and orchestration frameworks to eliminate pipeline bottlenecks. - Optimize end‑to‑end data paths from persistent storage to GPU memory, leveraging hardware, networking, and workload semantics. - Publish research outcomes at leading conferences and co‑author technical papers. - Collaborate with AI researchers and engineers to productionize innovations and shape strategic AI infrastructure roadmaps. Required Skills: - Deep expertise in AI KV cache, retrieval‑augmented generation, agentic memory, storage systems, filesystems, caching, and scalable data platforms. - Proficient in low‑level kernel or GPU memory optimization and workflow orchestration. - Strong programming skills in C/C++ or Python; experience with CUDA, PyTorch/TensorFlow, and distributed storage APIs. - Ability to translate complex concepts across hardware, software, and AI domains and communicate clearly. Required Education & Certifications: - Ph.D. or Master’s degree in Computer Science, Electrical Engineering, or related technical field. - Demonstrated publications in top‑tier AI/ML or storage conferences.

Company Name: Huawei Canada
Job Title: Intern Associate Engineer - LLM Application Platform
Job Description: **Job Title:** Associate Engineer Intern – LLM Application Platform **Role Summary:** Develop and optimize infrastructure, tooling, and platforms to enhance engineering and service productivity for large language model (LLM) applications. Focus on heterogeneous architectures (e.g., GPU, NPU) and integration of software frameworks with in-house hardware. **Expectations:** - Research, prototype, and implement core systems to improve LLM application efficiency and quality. - Design APIs, frameworks, and runtime systems for heterogeneous hardware. - Support integration of novel software frameworks on in-house platforms. - Collaborate on performance modeling, resource management, and fault-tolerant systems. **Key Responsibilities:** - Build APIs, tools, and systems for LLM training, inference, and deployment. - Assess and adapt published research for prototype systems. - Develop frameworks for distributed computing, cloud-native, and operating system workflows. - Publish research papers and patents on innovative solutions. **Required Skills:** - Proficiency in Python/C/C++/Go and software development practices (version control, CI/CD). - Strong knowledge of ML/DL, LLM training/finetuning (NLP/CV). - Experience with model frameworks (PyTorch, Tensorflow, DeepSpeed) and cloud-native tools (Docker, K8S). - Familiarity with computer architecture, distributed/parallel computing, OS, and networking. **Required Education & Certifications:** - Bachelor’s or Master’s in Computer Science, Electrical & Computer Engineering, Machine Learning, or related fields. - No certifications required.