Posted 47 months ago
Senior Technical VP - AI & Efficient Deep Learning
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
Overview
Huawei Technologies Canada is hiring a Senior Technical VP for AI and efficient deep learning within its Computing Data Application Acceleration Lab. The role sets the AI computing technology roadmap and leads hardware/software/algorithm co-design for large-scale AI inference and training systems. The posting asks for 5+ years of hands-on AI experience and a permanent full-time position.
Responsibilities:
- Analyze AI technology trends and plan AI computing roadmap
- Lead core competitiveness planning for AI inference and training
- Build AI computing system frameworks through hardware/software/algorithm co-design
- Drive industry-leading AI system solutions
Requirements summary:
- Degree in computer science, mathematics, statistics or engineering
- 5+ years of hands-on AI experience
- Deep knowledge of AI theory and large models such as Llama and DeepSeek
- Experience with large-scale inference or training system projects
- Knowledge of AI chip architecture and interconnection technologies
- Publications in top-tier computer architecture or AI conferences preferred
Tools & skills
Source and dates
Employer career site / ATS feed · recruitee
- Employer posting date
- 2022-12-16
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Mathematics, Statistics, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Huawei Technologies Canada Co., Ltd.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
- People associated on LinkedIn
- 142,744
- Other recorded names
- Huawei Finland R&D
- Huawei
- Huawei Europe
- Huawei Denmark
- Huawei Norway
- Huawei
- Huawei Serbia&Hungary Rep Office
- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Field | Value |
|---|---|
| Industry | Telecommunications |
| Company size | 10001+ |
| Headquarters | Shenzhen, Guangdong |
| Open jobs on Jobsy | 190 |
| View page |
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 are 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.
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 optimalization. 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.
Journal
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