New Computing Architectures Researcher

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.

We regret to inform that only shortlisted candidates will be notified.

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