Senior Researcher - Computer Architecture ML Systems

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to sound operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in telecom and enterprise networks, devices, and cloud technology and services. Our ICT solutions, products, and services are used in more than 170 countries and regions, serving over 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 Switzerland Research Centre in Zurich is responsible for advanced technical research, architecture evolution design and strategic technical planning on computer architecture.

We are currently looking for Researchers of our new Computer Architecture Innovation Lab.

• NPU-Centric Python Framework Design：Architect and implement Python frameworks (e.g., PyTorch/Tensor Flow integrations) to optimize NPU utilization for AI workloads. Develop tools for automated model conversion, quantization, and deployment targeting NPU subsystems.
• Compiler & Toolchain Innovation：Design and enhance NPU-specific compiler stacks (e.g., LLVM/TVM/GCC-based) to translate high-level models into optimized NPU instructions;
  Optimize kernel scheduling, memory allocation, and parallelism strategies for NPU architectures.
• Hardware-Software Co-Design:
  Collaborate with hardware teams to define NPU ISA extensions, microarchitecture features, and performance counters for framework efficiency. Performance Analysis & Optimization
• Profile end-to-end AI workflows (training/inference) to identify bottlenecks in NPU-Python frameworks. Implement low-latency, high-throughput solutions for transformer-based models and generative AI workloads.
• Research & Ecosystem Leadership:
  Publish cutting-edge research in top-tier conferences (e.g., ISCA, ASPLOS, MLSys) and contribute to open-source projects;
  Drive adoption of NPU frameworks through developer tools, documentation, and industry partnerships.

• PhD or MSc in computer science or area related to computer architecture, or Compiler Engineering experience in industry
• Proficiency in Python and C/C++ for system-level programming.
• Proficiency in AI frameworks (PyTorch, Tensor Flow) and model optimization techniques.
• 3+ years in system software development,
• Experience with xPU/DSP tool chains is a plus.
• Knowledge of compiler frameworks (LLVM, GCC, TVM, XLA) and NPU/GPU architectures is a plus.
• Excellent oral and written English.

• Competitive salary and incentive schemes
• Research on high-impact topics
• Work with top Researchers and University Professors
• International mobility

To apply, please click on the link