Large Model Systems Specialist Large Model Systems Specialist
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Job ID: 1355082641
Date Updated:Sep 01, 2025
Recruiter: Shanghai Wanbo Xinrui Enterprise Management Consulting Co., Ltd.
  • Work City : Beijing
  • Salary Range : 35000 - 100000 CNY /Month
  • Work Experience :No Experience
  • Job Type :Full Time
1. Be responsible for the design, development and performance optimization of large-scale model training and reasoning system, and solve technical problems such as high concurrency, high reliability and high scalability of the system, including but not limited to super-large model computing performance optimization, super-large cluster training optimization, super-large distributed reasoning system, super-large reasoning traffic scheduling, etc.;
2. Be responsible for the research and introduction of large-scale model training and reasoning forward-looking technical architecture, and the technical scheme is not limited to distributed training and deduction system, heterogeneous computing system, compilation optimization, model quantification, etc.;
3. Deeply cooperate with algorithm and product teams to jointly optimize algorithms and systems for business scenarios.

Language
• Chinese, Fluent
  • About us
    Wanbo Xinrui has been deeply involved in high-end talent search business. It is committed to providing comprehensive human resources services throughout the entire career lifecycle of candidates and at different development stages of enterprises. It wholeheartedly serves the AIGC, embodied intelligence, and artificial intelligence industries, solves the problems of talent acquisition and talent services for enterprise customers, assesses the development of enterprises from an organizational perspective, and empowers enterprises' talent strategies.
    The services we provide to customers are extensible and can maintain long-term development relationships with enterprises. We offer talent recruitment solutions tailored to specific industries and functional characteristics. In order to continuously create value for customers and users, we will further expand a wider range of talent resources.
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