New Computing Architectures Researcher

About the role

We are seeking a researcher to lead cutting‑edge investigations into AI‑focused computing clusters, super‑node systems, and edge device architectures. The role involves translating advanced research into practical product road‑maps for generative recommendation engines and on‑device LLM inference.

Key responsibilities

• Conduct in‑depth research on innovative AI clusters, super‑node, and edge computing architectures for generative recommendation training and energy‑efficient LLM inference.
• Track emerging industry technologies, analyse trends, and produce high‑quality research reports.
• Lead pre‑research and development of new cluster and device architectures, exploring novel paradigms and algorithms.
• Collaborate with hardware, software, and product design teams to turn research insights into product requirements.
• Participate in academic collaborations, analyse patent landscapes, and contribute to key patent filings.

Required profile

• PhD in Computer Science, Software Engineering, Electronic Information, Communication Engineering, or a related field.
• Familiarity with cluster, super‑node, or edge device computing architectures.
• Strong communication, collaboration, and problem‑solving abilities.
• Ability to work independently under pressure and demonstrate an innovative mindset.

Required skills

• Proficiency in Python, C, or C++.
• Experience with Linux operating systems.
• Algorithm design and implementation.