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Technical Leader: AI Systems Architecture

Huawei Technologies Switzerland AG

Zürich

Vor Ort

CHF 120’000 - 150’000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading global ICT solutions provider seeks experienced Researchers for their Computer Architecture Innovation Lab in Zürich, Switzerland. Candidates should have a PhD and at least 8 years of experience, with strong expertise in multimodal learning and contributions to open-source AI projects. Excellent English communication skills are essential. This role offers the chance to innovate in an advanced research environment.

Qualifikationen

  • 8+ years of experience in Computer Science, Computer Engineering, or related fields.
  • Strong English communication and documentation skills.
  • Experience publishing in top-tier AI conferences.

Aufgaben

  • Conduct advanced technical research in computer architecture.
  • Propose and validate novel architectures or algorithms.
  • Contribute to open-source AI projects.

Kenntnisse

Multimodal learning expertise
Experience with VLMs
Knowledge of transformer architectures
Proficiency in PyTorch/JAX
Open-source community development
Strong engineering skills

Ausbildung

PhD in Computer Science or related field

Tools

PyTorch
JAX
Jobbeschreibung

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.

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

Founded in 1987

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