Senior Technical VP - AI & Efficient Deep Learning
Huawei Technologies Canada Co., Ltd. Open · verified Oct 22, 2026 At a glance
VP-level AI Research role at Huawei Technologies Canada Co., Ltd. Markham · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Track AI technology shifts and set the computing roadmap to improve product performance and commercial results
- Co-design hardware, software and algorithms around chip and system architecture to create system-level advances
- Shape the technical foundations for AI computing systems and lead the development of competitive system solutions
What you bring
- A degree in computer science, mathematics or engineering, or another related field, plus strong mathematical grounding
- More than five years of practical AI work in areas such as computer vision, large models or multimodal systems
- Hands-on leadership of large-scale AI training or inference research or product development, with strong commercial and technical outcomes
- Deep knowledge of AI theory, large-scale models, chip architecture, co-design and distributed AI systems
Who this fits
This senior technical leadership role suits someone who has led substantial AI training or inference work and can connect algorithms with hardware and systems design. The position is based on-site in Markham, Canada.
From the employer
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.