Technical Leader – AI Systems Architecture

Technical Leader – AI Systems Architecture

Computer Architecture Innovation Lab

📍 Zurich, Switzerland | Fully Onsite

We are seeking a senior technical leader and researcher to join our newly established Computer Architecture Innovation Lab
. This role focuses on multimodal AI systems
, large-scale model training and inference, and close collaboration with architecture, systems, and research teams.

A strong open-source track record is essential. Candidates should be active contributors or maintainers in major AI frameworks or communities.

• Deep expertise in multimodal learning, with hands-on experience training:
• Strong background in large multimodal models (LMMs), including:
  • Efficient inference and deployment
• Proven open-source contributions, ideally to projects such as:
  • Hugging Face Transformers
  • LLaVA, BLIP-2, InternVL
  • OpenMMLab, Diffusers

• Expert-level proficiency in PyTorch and or JAX
• Experience with large-scale distributed training and inference
• Strong understanding of AI performance optimization, including:
  • Memory efficiency
  • Parallelism strategies
  • System level bottleneck analysis
• Ability to design and implement end-to-end pipelines, covering:
  • Data preprocessing
  • Distributed training
  • Evaluation and benchmarking
• Hands-on experience in open-source community development
• Maintainer or committer experience is a strong plus

• Strong publication record in top-tier AI conferences, such as:
  • ACL
  • EMNLP
• Demonstrated ability to:
  • Propose novel architectures or algorithms
  • Validate ideas through rigorous experimentation
  • Bridge research and production systems

• PhD plus 8+ years of experience in:
  • Computer Science
  • AI or related fields
• Excellent English communication and documentation skills
• Comfortable working in cross-functional and interdisciplinary teams, including:
  • Systems
  • Hardware architecture
  • Applied research

• Fully onsite role
• Open-source leadership and real community impact are key selection criteria