Best Paper Candidates

Researcher – Advanced Computing Systems & AI

About the Research Environment

We are seeking exceptional Researchers to join a leading advanced computing systems research organisation based in Zurich.

The team works at the intersection of computer architecture, artificial intelligence, high-performance computing, systems software, memory technologies, and hardware-software co-design. Researchers operate in a highly collaborative environment alongside specialists in chip architecture, distributed systems, AI infrastructure, compilers, interconnects, and next-generation computing platforms.

The research environment supports ambitious, large-scale projects and maintains close collaboration with leading universities, research institutions, and industry partners worldwide.

Researchers are encouraged to pursue high-impact work with both scientific and practical relevance, contributing to the development of future computing architectures, AI systems, and large-scale infrastructure technologies.

Research Areas

Current areas of interest include:

• CPU, GPU, and AI accelerator architectures.

• Heterogeneous computing systems and integrated CPU/GPU/AI devices.

• Advanced interconnect architectures and routing methods.

• Supernode, cluster, and datacentre architectures for high-performance computing and AI.

• AI and autonomous agents for automated chip and system design.

• Hardware-software interfaces and system co-design.

• Parallel programming models and platforms for artificial intelligence.

• Next-generation compiler technologies.

• Large language model training and inference.

• Multimodal AI and advanced agentic systems.

• Artificial general intelligence research.

• Security and reliability of AI systems.

• High-performance memory architectures and memory subsystems.

• Scalable AI infrastructure and distributed computing platforms.

Key Responsibilities

• Conduct original research in advanced computing systems, artificial intelligence, or related fields.

• Develop new architectures, algorithms, systems, or software techniques addressing challenging computational problems.

• Design and evaluate novel hardware-software co-design approaches.

• Build prototypes and experimental systems to validate research concepts.

• Conduct large-scale benchmarking, modelling, simulation, and performance analysis.

• Collaborate with researchers across computer architecture, AI, compilers, distributed systems, and systems software.

• Work with academic and industry partners on joint research projects.

• Publish research findings at leading international conferences and journals.

• Contribute to long-term technology roadmaps and next-generation computing platforms.

• Translate research results into practical technologies, prototypes, and system-level innovations.

• Mentor junior researchers and contribute to the broader technical research community.

Candidate Profile

We are particularly interested in candidates with a strong academic or industrial research track record in computer systems, artificial intelligence, or related disciplines.

Candidates should demonstrate:

• PhD or equivalent research experience in Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or a related discipline.

• Strong publication record at recognised international conferences and journals.

• Evidence of original research contributions and independent technical thinking.

• Deep expertise in at least one relevant area of computer architecture, systems, AI infrastructure, compilers, distributed computing, or machine learning.

• Strong analytical, experimental, and problem-solving abilities.

• Ability to design and implement research prototypes and evaluate them rigorously.

• Strong programming and systems-development capabilities.

• Ability to work effectively in interdisciplinary research teams.

• Strong written and verbal communication skills in English.

Highly Valued Experience

A strong publication record at leading conferences is particularly valued. Relevant venues may include:

• ISCA

• MICRO

• ASPLOS

• HPCA

• DAC

• OSDI

• NeurIPS

• ICML

Best paper awards, distinguished paper recognition, or other evidence of significant research impact would be considered a strong advantage.

Experience in any of the following would also be beneficial:

• CPU, GPU, NPU, or accelerator architecture.

• Large-scale AI training or inference systems.

• Chip design automation and AI-assisted electronic design.

• High-performance interconnects and network fabrics.

• Memory-system architecture and optimisation.

• Compiler design and optimisation.

• Distributed and parallel computing.

• AI agent systems and multimodal foundation models.

• Hardware-software co-design.

• Datacentre-scale computing.

• AI systems security and reliability.

• Open-source systems, architecture, compiler, or AI infrastructure projects.

Research Culture

The organisation provides a research-led environment focused on technical depth, scientific impact, and long-term innovation.

Researchers are expected to combine academic rigour with the ability to develop practical systems, collaborate internationally, and contribute to technologies that can influence future generations of computing and AI infrastructure.