Technical Leader: AI Systems Architecture

Description

If you are enthusiastic in shaping Huawei’s European Research Institute together with a multicultural team of leading researchers, this is the right opportunity for you! Apply!

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 + 8 years in Computer Science, Computer Engineering, or related fields.
• Strong English communication and documentation skills.
• Comfortable working in cross-functional and interdisciplinary teams.