Senior Researcher: AI Systems Architecture

Vor 3 Tagen

Zürich, Schweiz Huawei Switzerland Vollzeit

About Huawei Huawei is a leading global ICT (information and communications technology) solutions provider. We’re driven by innovation, open collaboration, and strong operations. Our ICT solutions, products, and services are used in over 170 countries and regions, serving more than one-third of the world’s population. With 180,000 employees, Huawei is committed to enabling the future information society and building a Better Connected World. Research Centre in Lausanne Huawei’s Research Centre in Lausanne focuses on advanced technical research, architecture evolution design, and strategic technical planning in computer architecture. We are currently looking for Researchers for our new Computer Architecture Innovation Lab. Expertise Strong expertise in multimodal learning, with hands‑on experience in training large‑scale VLMs, video models, or multimodal agents. Proven contributions to well‑known open‑source AI projects (e.g., HuggingFace Transformers, LLaVA, BLIP‑2, InternVL, OpenMMLab, Diffusers, video diffusion frameworks). Strong understanding of transformer architectures, diffusion models, and large multimodal model (LMM) inference. Technical Skills Strong proficiency in PyTorch/JAX, large‑scale distributed training/inference frameworks, and AI performance optimization. Solid engineering ability to build end‑to‑end training and inference pipelines, including data preprocessing, distributed training, and evaluation. Experience in open‑source community development; Experience as a maintainer or committer in an open‑source community is preferred. Research & Innovation Publication record in top‑tier AI conferences (e.g., NeurIPS, ICLR, CVPR, ICCV, ACL, EMNLP) is highly preferred. Demonstrated ability to propose and validate novel architectures or algorithms. Who We’re Looking For PhD in Computer Science, Computer Engineering, or related fields. Strong English communication and documentation skills. Comfortable working in cross‑functional and interdisciplinary teams. #J-18808-Ljbffr

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