New Computing Architectures Researcher

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 140,000 - 210,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking an accomplished researcher to lead advanced research on innovative AI clusters and edge computing architectures.

The role focuses on generative recommendation training and efficient on-device inference, translating findings into practical technical roadmaps. The candidate will collaborate with hardware, software, and product teams, publish research, and contribute to patent filings while shaping long-term architecture strategy across diverse computing

Qualifications

• PhD required in a related field (CS/SE/EE).
• Experience with cluster/super-node architectures or edge computing is a plus.
• Proficient in Python, C, or C++; Linux experience desirable.
• Strong collaboration, problem-solving, and independent work abilities.

Responsibilities

• Conduct in-depth research on AI clusters and super-node architectures for generative recommendation training and energy-efficient LLM inference on devices.
• Lead pre-research and development of new cluster and device computing architectures; explore new paradigms and optimize performance.
• Collaborate with hardware, software, and product teams to translate research into practical product requirements and architecture design.
• Participate in academic collaborations and analyze patent landscapes to enhance technical competitiveness.

Skills

Python

C

C++

Linux

Research

Communication

Education

PhD in Computer Science and Technology

Job description

Responsibilities

• Conduct in-depth research on innovative AI clusters and super-node architectures tailored for generative recommendation training and inference, or energy-efficient LLM inference on devices such as mobile phones and automobiles. Track cutting-edge industry technologies, analyze technological trends, produce high-quality research reports, and contribute to long-term technical roadmaps.
• Lead the pre-research and development of new cluster and super-node architectures and device computing architectures. Explore innovative architectural paradigms, algorithms, and technical approaches. Identify and solve key technical challenges in system architecture design and performance optimization.
• Collaborate closely with cross-functional teams, including hardware development, software development, and product design. Translate research insights into practical product requirements, and contribute to architecture design and development of products.
• Participate in domestic and international academic collaborations, analyze industry patent landscapes of new computing architectures, contribute to key patent filings, and enhance the company's technical competitiveness.

Requirements

• PhD in Computer Science and Technology, Software Engineering, Electronic Information, Communication Engineering, or related field.
• Familiarity with cluster and super-node architectures or edge device computing architectures. Knowledge of distributed, parallel, or edge computing, etc. Experience in generative recommendation acceleration or on-device LLM inference is an added advantage.
• Solid programming skills with proficiency in at least one of the programming languages (Python, C, or C++). Familiarity with Linux operating systems and capable of algorithm design and implementation.
• Strong communication, collaboration and problem-solving skills. Able to work independently under pressure and demonstrate a strong interest and innovative mindset in new computing architectures.
• Strong market and technological insight, with the ability to identify trends and new opportunities in the industry.
• Ability to work in diverse, cross-functional environments with an open and collaborative mindset.