Senior Technical VP - AI & Efficient Deep Learning

Huawei Canada; Markham; On-site; CAD 150,000 - 200,000; Full time

Job summary

A leading technology firm in York Region, Markham is seeking a Senior Technical VP to lead innovations in AI computing. The ideal candidate will conduct in-depth analysis of technological trends, drive AI system solutions, and possess over 5 years of experience in AI fields. Responsibilities include building core technical frameworks and ensuring product performance in future AI applications. This technical leadership role emphasizes collaboration and innovation within a cutting-edge team.

Qualifications

• Solid mathematical knowledge and understanding of AI theory.
• Proficiency in SOTA large-scale models and algorithm principles.
• Experience in optimizing large model performance.

Responsibilities

• Conduct in-depth analysis of technological trends in AI.
• Lead core competitiveness planning and technology roadmap.
• Build the core technical framework of AI computing systems.

Skills

AI theory knowledge

SOTA large-scale models

AI chip architecture

Hardware/software co-design

Distributed training frameworks

Education

Degree in Computer Science, Mathematics/Statistics, Engineering

Job description

Overview

Huawei Canada has an immediate permanent opening for a Senior Technical VP.

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 is to enhance algorithm performance and training efficiency across industries, fostering long-term competitiveness.

About the job

• Conduct in-depth analysis of technological trends in the AI field, lead the core competitiveness planning and technology roadmap in AI computing, and ensure industry-leading product performance and commercial success in future AI inference & training applications.
• Deeply understand the chip and system architecture, and implement system-level innovation through co-design of hardware/software/algorithms. Build the core technical framework of AI computing systems, driving industry-leading AI system solutions.

Qualifications / About The Ideal Candidate

• Degree in Computer Science, Mathematics/Statistics, Engineering, or related fields, with solid mathematical knowledge. Deep understanding of AI theory and proficiency in SOTA large-scale models (such as Llama and DeepSeek) and fundamental AI algorithm principles.
• Knowledge about AI chip architecture and interconnection technologies. Proficiency in hardware/software co-design and optimization. In-depth understanding of key technologies in AI systems, including high-performance operator libraries, collective communication libraries, distributed acceleration, parallelism strategies, and efficient dispatching systems.
• Experience in computing efficiency optimization of large models, including optimization of inference latency and throughput, and MFU enhancement. Familiarity with distributed training and inference frameworks such as Megatron, vLLM, and SGLang.
• More than 5 years of hands-on experience in AI fields such as CV, LLM, MultiModal, Reasoning, and Agent. Experience in leading large-scale inference/training system research projects or product design & development, demonstrating outstanding commercial results and significant technical influence.
• Publication record in top-tier computer architecture/computer system/AI conferences is preferred.