Publié il y a 47 mois
Senior Technical VP - AI & Efficient Deep Learning
@ Huawei Technologies Canada Co., Ltd.
Markham, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Site carrière / système de candidatures · recruitee
- Date publiée par l’employeur
- 2022-12-16
- Première détection par notre source
- 2026-10-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Computer Science, Mathematics, Statistics, Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Huawei Technologies Canada Co., Ltd.
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- Personnes associées sur LinkedIn
- 142 744
- Autres noms enregistrés
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- Huawei Telekomünikasyon Dış Ticaret Ltd
- Huawei Technologies Italia
- Huawei Switzerland
| Champ | Valeur |
|---|---|
| Secteur | Telecommunications |
| Taille | 10001+ |
| Siège social | Shenzhen, Guangdong |
| Offres sur Jobsy | 187 |
| Voir la 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.
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