Senior Technical VP - AI & Efficient Deep Learning
- Markham, ON, Canada
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Job details
- Experience
- More than 5 years of hands-on experience in AI fields such as CV, LLM, MultiModal, Reasoning, and Agent.
- Posting language
- English
- Posted
Original job description
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.
More about this job
Responsibilities
The Senior Technical VP will analyze AI technology trends and plan the core competitiveness and technology roadmap for AI computing. The role also builds the core technical framework for AI systems through co-design of chips, systems and algorithms.
Requirements
Candidates need a degree in computer science, mathematics, statistics or engineering and deep knowledge of AI theory and large models. They also need 5+ years of AI experience, experience leading large-scale training or inference systems, and strong knowledge of AI chip architecture and distributed computing.
Skills
- Large language models
- Llama
- DeepSeek
- AI chip architecture
- Interconnection technologies
- Hardware/software co-design
- High-performance operator libraries
- Distributed acceleration
- Parallelism strategies
- Efficient dispatching systems
- Inference latency optimization
- Throughput optimization
- MFU enhancement
- Megatron
- vLLM
- SGLang
- Distributed training
- Distributed inference
- Technology roadmap planning
- Technical leadership
- Computer vision
- Multimodal AI
- Reasoning and agent systems
- Computer architecture
Categories
- Technology
- Engineering
- Management & Leadership
Keywords
- AI
- deep learning
- large language models
- Llama
- DeepSeek
- AI chip architecture
- hardware/software co-design
- inference optimization
- distributed training
- Megatron
- vLLM
- SGLang
- MFU
- GPU architecture
- collective communication
- distributed acceleration
- AI computing
- technical vice president
- AI systems
- efficient deep learning
Seniority
Senior
Tools
- Megatron
- vLLM
- SGLang
Languages
- English
Fields of study
- Computer Science
- Mathematics
- Statistics
- Engineering