GenAI Architect: Clusters, Edge & On-Device Inference

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

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