Editorial summary

The company is seeking a New Computing Architectures Researcher to conduct advanced research on innovative AI cluster and super-node architectures, focusing on generative recommendation training, inference, and energy-efficient LLM deployment on mobile and automotive devices. The role involves analyzing industry trends, producing research reports, and leading the development of new architectural paradigms and algorithms. The position offers a salary of 15,000 and requires expertise in emerging computing architectures, AI hardware, and technical research. The researcher will contribute to the company's long-term technological roadmap and innovation initiatives.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 29106 first appeared in Job-Q.com on 01 Sep 2026]

Responsibilities:

1. 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.
2. 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.
3. 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.
4. 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:

1. PhD in Computer Science and Technology, Software Engineering, Electronic Information, Communication Engineering, or related field.
2. 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.
3. 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.
4. 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.
5. Strong market and technological insight, with the ability to identify trends and new opportunities in the industry.
6. Ability to work in diverse, cross-functional environments with an open and collaborative mindset.

Interested candidate please click "APPLY" to begin your job search journey.

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