Senior Researcher AI Compiler Architecture

Huawei's vision is to enrich lives through communication and intelligent innovation.

As a global leader in information and communications technology (ICT), Huawei drives innovation in artificial intelligence, cloud computing, and smart device technologies. Through its Carrier, Enterprise, and Consumer business groups, the company delivers advanced Network Infrastructure, Cloud and AI Platforms, and industry-leading devices.

Huawei supports 45 of the world’s top 50 telecom operators and serves one-third of the global population, with operations in over 170 countries and a workforce of more than 200,000 employees.

Huawei Technologies Switzerland AG contributes to this innovation through cutting-edge research, with offices in Zurich and Lausanne focusing on High-Performance Computing, Computer Architecture, Computer Vision, Robotics, Artificial Intelligence, Neuromorphic Computing, Wireless Technologies, Networking, and related fields.

We are a unique team of innovative, diverse individuals who have come together from multiple backgrounds to create advanced Software and Compiler Architectures for general-purpose and AI computing systems. The people who work here are generalists, and we complement each other.

Our primary mission is driving new fundamental research and innovation to achieve breakthroughs in future computing systems. The passion for exploring uncharted territory makes us thrive.

We seek a highly talented researcher to explore novel compiler technologies and tool chains for next-generation computing architectures (including CPUs, and AI accelerators) and analyze key software-hardware co-design trade-offs in coordination with cross-functional domain experts.

• Technology Research
  - Design and validate efficient compiler infrastructures and algorithms. Key objectives include maximizing computational performance, optimizing memory utilization, and generating highly efficient hardware-specific code.
• Software-Hardware Co-Optimization
  - Drive co-optimization efforts including kernel fusion, memory layout tuning, and operator scheduling for GPUs, TPUs, or custom accelerators.
• Technology Insight
  - Recognize and track technology trends across the compiler ecosystem, from traditional frameworks (LLVM, GCC) to modern AI stacks (MLIR, TVM, Triton). Propose novel technologies to improve compilation speed, execution performance, code size, and programmability. Additionally, participate in strategic and business planning discussions.
• External Collaboration
  - Engage with local academic and industrial partners based on business requirements. Independently lead the development and operation of research collaboration projects.

• MSc or PhD in Computer Science, Software Engineering, or a related field.
• At least 1 year of relevant experience in compiler development, system software, or computer architecture.
• Demonstrated expertise in compiler construction, covering front end parsing, middle end optimizations, and back end code generation.
• Strong background and hands on experience with foundational compiler infrastructures (e.g., LLVM, GCC) and/or modern deep learning compilers (e.g., MLIR, Apache TVM, XLA) – highly preferred.
• Solid compiler fundamentals backed by substantial experience, including deep understanding of traditional optimizations (auto vectorization, loop transformations, register allocation, instruction scheduling) as well as modern AI specific techniques (computational graph optimizations, operator fusion, polyhedral compilation).
• Experience in code generation and performance tuning for specialized hardware (e.g., custom SoCs, GPUs, NPUs, DSPs, many core architectures).
• Strong understanding of hardware software interfaces and interactions. Background in…