Job Opportunity: Chief Scientist (m/f/d)
The Computing System Lab at the Zurich Research Center is a premier setting for research and development in advanced computing systems. Our focus areas include chip architecture, computing clusters, system interconnect, memory subsystems, artificial intelligence, and software technologies. With a dynamic team of over 70 researchers, including more than 50 PhD holders, we operate at the forefront of computational innovation, significantly influencing the future of technology.
Under expert leadership, the lab has expanded its research scope and impact, establishing a reputation for excellence and fostering a collaborative environment that promotes innovation and nurtures talent.
Beyond our impressive research output, the Computing System Lab collaborates with leading industry partners and academic institutions globally. Over the past five years, we have secured over CHF 150 million in funding, enabling us to undertake groundbreaking projects. Our interdisciplinary approach merges expertise in software and hardware co-design with AI technologies to create impactful solutions that help drive technological leadership for various Huawei products.
Our commitment to innovation is reflected in our exceptional publication rate, with over 100 peer-reviewed papers published annually in top-tier conferences and journals. The lab continuously pushes the boundaries of computing, contributing to the advancement of next-generation AI systems, software, and high-performance memory architectures.
Role Overview
We are seeking a Chief Scientist with extensive expertise and capabilities to lead our initiatives in innovation and advanced techniques. This role will ensure the successful operation of projects within our lab through pathfinding research and strategic planning.
Key Responsibilities
- Lead the team in identifying the evolution of next-generation computing architectures, focusing on AI accelerators and general-purpose processors.
- Continuously monitor global technology trends and anticipate breakthroughs and disruptions in the field.
- Define key challenges in next-generation architecture evolution and prioritize them based on their impact on future competitiveness and performance.
- Set high-standard research goals and supervise the team in achieving leading-edge solutions.
- Guide the team to develop outstanding capabilities in architecture design and performance analysis, using rapid workload modeling and computational mapping on specific hardware architectures.
- Motivate the team to create competitive solutions that surpass existing industry standards and align with market needs.
- Represent the team at internal and external events, articulating technical viewpoints with clarity and authority.
- Develop partnerships with academic institutions and industry partners to enhance research collaboration.
- Ensure the team consistently delivers high-quality research outputs, including significant technological breakthroughs, influential publications, and valuable patents.
Requirements
- PhD in Computer Science, Electrical Engineering, or a related field with proven achievements in advanced computing architecture, particularly in AI scenarios.
- A minimum of 15 years of experience in research and development within the field of computing architecture, including substantial leadership experience.
- Deep understanding of AI technologies, especially in areas such as LLM, foundation models, multimodal computing, HPC, graphics & rendering, cryptography, and quantum computing.
- Exceptional publication record in reputable journals and conferences, with an h-index of no less than 30.
- Strong leadership and organizational skills, with the ability to motivate and guide a high-performing team.
- Excellent communication and collaboration skills to engage effectively with stakeholders at all levels.
Preferred Qualifications
- Experience in exploring and designing advanced microarchitecture, SoC, hardware platforms, and memory solutions.
- Proficiency in workload analysis and mapping, as well as software-hardware co-design.
- Knowledge of critical topics in chip design and manufacturing processes.
Apply online using the form below. Only applications matching the job profile will be considered.