Senior Researcher: AI Computing Systems

Huawei Switzerland · Zürich

Huawei Switzerland seeks a Senior Researcher in AI Computing Systems based in Zürich to optimize LLM inference, RAG acceleration, and KV-cache pipelines through research-driven engineering.

The position focuses on bridging advanced research concepts with high-performance system implementation. The successful candidate will work on both low-level kernel optimization and system-level inference stacks, transforming theoretical ideas into efficient, production-ready code for large language models.

Responsibilities

  • Create and deploy techniques to accelerate Retrieval-Augmented Generation (RAG), aiming to lower time-to-first-token and boost overall throughput.
  • Build and refine pipelines for KV-cache reuse and blending, ensuring seamless integration with modern inference frameworks.
  • Develop and tune sparse and selective attention mechanisms to enhance model efficiency.
  • Utilize PyTorch and contemporary attention backends to profile, analyze, and optimize computational performance.
  • Monitor emerging trends in open-source LLM inference, caching strategies, and RAG architectures, applying relevant advancements to internal projects.

Requirements

  • Doctoral degree in Computer Science, Electrical Engineering, or a closely related discipline.
  • Proficiency in Python software development, backed by extensive hands-on experience with PyTorch.
  • Comprehensive knowledge of transformer inference mechanics and fundamentals.
  • Proven ability to benchmark AI workloads, profile LLM execution, and identify performance constraints.
  • Excellent interpersonal abilities and a collaborative mindset for working across research and engineering teams.

Nice to have

  • Prior exposure to vLLM or LMCache frameworks.
  • Understanding of attention kernel architectures and the ability to customize them.
  • Hands-on background in constructing RAG workflows.
  • Publications, technical reports, or open-source contributions related to AI systems, LLM inference, caching, or storage-aware machine learning.
  • Deep systems expertise covering Linux, performance engineering, storage/IO, and memory hierarchy, with comfort operating near hardware levels.

What the company offers

  • Work alongside top-tier scientists and engineers within a supportive, curiosity-focused setting.
  • Utilize cutting-edge technology and development tools.
  • Engage in continuous professional development and career advancement opportunities.
  • Receive a competitive compensation package alongside the high living standards found in Zürich.
  • Contribute to groundbreaking initiatives that drive meaningful impact.

About the company

Huawei Switzerland operates from research hubs in Zürich and Lausanne, driving innovation in high-performance computing, computer architecture, and artificial intelligence. Guided by a mission to enrich lives through intelligent innovation, the company plays a leading role in global digital transformation, pioneering advancements in cloud computing, smart devices, and networking technologies.

  • Fosters an open, curiosity-driven environment that encourages collaboration with world-class experts.
  • Focuses on pioneering breakthroughs across multiple technology domains including AI, robotics, and wireless systems.
  • Committed to enriching lives through communication and intelligent innovation.
  • Positions itself at the forefront of global digital transformation.

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