Huawei

Global ICT infrastructure and devices provider

Principal Architect - Hardware Efficient AI Foundation Model Training

Natural Language Processing & LLMsUpdated on Nov 13

Full-timeMarkham, ON, CanadaNo salary listedIn-person

About the Job

Requirements

Ability to propose technical requirements for large-scale distributed training and inference infrastructure.
Ability to analyze the computational characteristics of typical architectures.

Responsibilities

Collaborate with internal and external organizations to lead the design of foundational model architecture for LLM, code, and multimodal subfields, using breakthroughs in post-training and continual training.
Develop a foundational model with state-of-the-art performance and hardware efficiency, and establish industry impact.
Propose technical requirements for large-scale distributed training and inference infrastructures, such as parallelization and operator fusion, and ensure the accuracy and advancement of AI hardware and infrastructure evolution.

Huawei Canada has an immediate permanent opening for a Principal Architect.

About the team:

The Computing Data Application Acceleration Lab aims to create a leading global data analytics platform organized into three specialized teams using innovative programming technologies. This team focuses on full-stack innovations, including software-hardware co-design and optimizing data efficiency at both the storage and runtime layers. This team also develops next-generation GPU architecture for gaming, cloud rendering, VR/AR, and Metaverse applications.

One of the goals of this lab are to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job:

Collaborate with internal and external organizations to lead the design of foundational model architecture for LLM/Code/Multimodal subfields by breakthroughs in post-training and continual training. Develop a foundational model with state-of-the-art performance and hardware efficiency, and establish industry impact.
Propose the technical requirements for large-scale distributed training and inference infrastructures such as parallelization and operator fusion, analyze the computational characteristics of typical architectures, and ensure the accuracy and advancement of AI hardware & infrastructure evolution.

About the Company

Huawei

Global ICT infrastructure and devices provider

Huawei designs and sells ICT infrastructure, devices, and cloud services for telecom operators, enterprises, and consumers. Its products span telecom networks, IT infrastructure, smart devices, and cloud offerings, and they operate globally in more than 170 countries. Huawei’s technology works by combining hardware and software across networking gear, servers, consumer electronics, and cloud platforms, enabling connectivity, data processing, and smart solutions for businesses and homes, with a focus on secure, open collaboration with ecosystem partners. Differences from competitors come from its large scale, employee ownership structure, extensive R&D investment, and broad end-to-end solutions that integrate networks, IT, devices, and cloud. The company aims to empower people, enrich home life, and drive organizational innovation by delivering value through collaboration, advanced technologies, and customer-focused services.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $2.4B
Headquarters: Shenzhen, China
Founded: 1987

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