Research Intern Next-generation Computer Architecture for Racks and SuperPods

Zürich - Switzerland

Monthly Salary: Not Disclosed

Posted on: 23 hours ago

Vacancies: 1 Vacancy

Job Summary

Huawei envisions a world where technology connects people empowers industries and unlocks human potential. Guided by its mission to enrich lives through communication and intelligent innovation Huawei stands at the forefront of global digital transformation. As a leader in Information and Communications Technology (ICT) the company pioneers breakthroughs in artificial intelligence cloud computing and smart devicesbuilding the intelligent foundation of a fully connected world.

Through its Carrier Enterprise and Consumer business groups Huawei delivers resilient digital infrastructure advanced cloud and AI platforms and transformative devices that enable progress at every level. Supporting 45 of the worlds top 50 telecom operators and serving one-third of the global population across more than 170 countries Huawei is shaping a future where connectivity becomes a powerful catalyst for opportunity and sustainable growth.

This spirit of bold innovation is embodied by Huawei Technologies Switzerland AG. From its research hubs in Zurich and Lausanne pioneering teams push the boundaries of High-Performance Computing Computer Architecture Computer Vision Robotics Artificial Intelligence Neuromorphic Computing Wireless Technologies and Networkingarchitecting the intelligent systems that will define tomorrows digital era.

Responsibilities:

The research focuses on designing next-generation rack and SuperPod architectures that combine elasticity through resource pooling with optimal performance enabled by holistic co-design across applications parallel programming models interconnect fabrics and compute memory and switch chip architectures. On the communication side the work architects scalable high-bandwidth and low-latency scale-up fabrics across multiple chips at rack and SuperPod scale. On the memory side it explores richer protocol semantics beyond traditional load/store operations to reduce unnecessary data movement and rethinks memory hierarchies to expose large-scale capacity with near-local latency. On the compute side it analyzes the requirements of General Compute and Generative AI workloads and their parallel programming models to fully leverage large-scale system resources.
Investigate and prototype new architectural features including but not limited to:

- Tiered Memory: Explore advanced memory organizations including hardware-managed caching to enable software-transparent fine-grained promotion and demotion of cache lines across the memory hierarchy.

- Prefetching/Speculation: Evaluate and design existing and next-generation hardware prefetching and speculation mechanisms to effectively hide local and remote memory latencies at rack and SuperPod scale.

- Near-Memory/Network Processing: Develop support for key primitives executed at the memory and network layers to minimize unnecessary data movement across sparse dense and pointer-based data structures.

- Workload-Centric Co-Design: Study optimal parallelization strategies at rack and SuperPod scale for both General Compute and Generative AI workloads and design dedicated hardware support for widely used parallel programming primitives such as RPCs and collective communication.

Write reports and papers on the research results and present them.

Requirements:

MSc in Computer Science Electrical Engineering or related field.
Background in Computer Architecture and Computer Fabrics is a must.
Creativity and the ability to think outside the box to develop innovative technologies.
Research experience in at least one of the following areas:

- Computer Architecture: Modern cache hierarchies cache coherence protocols memory systems hardware prefetchers and the memory-side of the core microarchitecture.

- Scale-up Fabrics: NVLink UALink CXL UPI IF or PCIe.

- Parallel programming models: Collective libraires (NCCL or RCCL) and RPCs (gRPC or Thift).

- Workload optimization: General Compute and Generative AI workload composition (internals) and parallelization expertise at the scale of the rack or SuperPoD in both cloud and HPC environments.

Excellent analytical problem-solving and system-level thinking skills.
Strong interpersonal skills with a collaborative spirit and the ability to work independently.

Why join us:

Collaborate with world-class scientists and engineers in an open curiosity-driven environment;
Access to state-of-the-art technology and tools;
Opportunities for professional growth and development;
Competitive salary and a high quality of life in Zurich at the center of Europe;
Last but certainly not least: be part of innovative projects that make a difference.

Huawei envisions a world where technology connects people empowers industries and unlocks human potential. Guided by its mission to enrich lives through communication and intelligent innovation Huawei stands at the forefront of global digital transformation. As a leader in Information and Communicat...