Huawei Canada

www.huawei.com

1 Job

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: 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.