Comic drawing: Wang Peng (posted by Xinhua News Agency)

　　The first large-scale offline talent recruitment fair in the spring of Hangzhou, Zhejiang, with 830 companies launching 21,000 positions, half of which focus on the research and development of artificial intelligence algorithms and large models; the special job fair for key units of East China University of Science and Technology in spring, the top ten booths have become a "popular job search corridor" for artificial intelligence and integrated circuits... Artificial intelligence empowers thousands of industries, and many employers "expand" recruitment related positions.

　　"Artificial Intelligence+" provides new opportunities for the job market. At present, what are the artificial intelligence jobs active in the employment market? What kind of industrial development trends are reflected? In the long run, which professions in the artificial intelligence industry are worth paying attention to? Recently, the reporter visited the campus and the front line of industrial applications.

　　Artificial intelligence is widely implemented, and the supply and demand of algorithm talents are booming

　　Biandangou Central School in Wuzhong Litong District, Ningxia is a pilot school for the local smart classroom innovation practice application project. In the smart classroom, a Chinese class is underway, and students discuss in groups and upload the answers to the system through a tablet computer.

　　"27 questions and answers, and the proportion of follow-up questions accounted for 22%. After class, the teacher received an artificial intelligence classroom report, covering teacher-student Q&A, classroom behavior, etc., reminding him to improve teaching methods in a targeted manner. This report is from Guangdong, 2,000 kilometers away and is provided by a classroom intelligent feedback system developed by Guangzhou Shirui Electronic Technology Co., Ltd.

　　"The generation of reports is inseparable from the algorithm engineer behind them." Wu Jie is a master's student at Guangdong University of Technology and is an intern in the position of algorithm engineer in the natural language processing direction of Shirui Technology. During this period, he participated in the data processing of the classroom intelligent feedback system, as well as large-scale model training and evaluation work.

　　"The system is equipped with a big education model. We collect and analyze multi-modal data in the classroom links, allowing the system to accurately capture effective information such as teacher-student Q&A and learn these data repeatedly." Wu Jie said that at the same time, the educational and teaching theory was converted into a language mastered by artificial intelligence, and trained him to put forward professional suggestions.

　　As artificial intelligence technology extends to more scenarios, the wave of "artificial intelligence +" is changing people's work and life at an unprecedented speed. "Artificial Intelligence + Education", "Artificial Intelligence + Finance", "Artificial Intelligence + Medical"... Traditional industries usher in new opportunities for intelligence.

　　Taking Shirui Technology as an example, its main artificial intelligence products such as LCD display main control boards and interactive smart tablets are widely used in home appliances, education, and enterprise services. "Artificial intelligence technology involves the entire process of R&D, production, and service, and requires a large number of algorithm talents." said Yang Ming, the company's chief technology officer.

　　In many places, the supply and demand of algorithm engineers are booming. Data from the recruitment platform shows that this year's spring recruitment, the recruitment of robot algorithm engineers increased by more than 30% year-on-year. From the perspective of industry distribution, the industry that recruits robot algorithm engineers the most is artificial intelligence.

　　"On the one hand, we must optimize the performance and implement existing large models in an engineering manner to reduce costs through technological innovation; on the other hand, we need to break through technical bottlenecks such as embodied intelligence and multimodal fusion. These technical needs have driven the recruitment needs of algorithm engineers and other positions." Yang Ming said, "As long as students with solid mathematical foundation and strong hands-on ability have a certain background in artificial intelligence learning, we are very welcome."

　　Computing power demand stimulates the development potential of key hardware and brings benefits to job hunting

　　Computing power is one of the core elements of the development of artificial intelligence. The rapid application and development of artificial intelligence in various fields has also increased the demand for high-computing power and high-performance artificial intelligence accelerators, and the output of related products has grown rapidly.

　　"Artificial intelligence accelerator is a hardware specially used to accelerate artificial intelligence task processing. It can quickly understand a large amount of information and help mobile phones, computers and other devices complete tasks that were difficult to solve efficiently in the past, such as image recognition, speech recognition, natural language processing, etc.." Wang Xuhang, a doctoral student at Shanghai Jiaotong University, is about to graduate and join Shanghai Huawei Technologies to engage in research and development.

　　"During my doctoral studies, I witnessed the exponential growth of user demand from the beginning to the 'deep thinking' stage. This has allowed students in our related majors to have a wider range of choices when looking for jobs." Wang Xuhang said that in recent years, he clearly felt that the demand for AI accelerator R&D positions has increased. "The position I applied for has also recruited several doctoral and master's students this year."

　　"In scenarios such as corporate office and industrial Internet, it is very important to efficiently deploy artificial intelligence accelerators. In the future, I will mainly participate in the communications field, and improve operational efficiency by designing dedicated artificial intelligence accelerators." Wang Xuhang introduced.

　　According to the China Artificial Intelligence Computing Power Development Evaluation Report, the scale of my country's intelligent computing power increased by 74.1% year-on-year in 2024. "This means that as key hardware, artificial intelligence accelerators will have greater development potential and market space." Zhang Ya, professor at the School of Artificial Intelligence of Shanghai Jiaotong University, said that for young people who are determined to participate in this technological revolution, it is the time to seize the opportunity.

　　In the past two years, some students guided by Zhang Ya have also entered technology companies to engage in related work. "The design and R&D of artificial intelligence accelerator are interdisciplinary, which not only requires deep knowledge of electronic engineering, but also requires a deep understanding of computer architecture and machine learning algorithms." Zhang Ya said that the relevant teams are usually composed of software engineers, hardware engineers and system architects. "The industry has a great demand for professional talents, which brings benefits to students' job searches."

　　During the interview, the reporter found that some places actively deploy computing power infrastructure construction, promote investment and talent at the same time, and gather talent elements through project implementation. Many places have taken the initiative in attracting artificial intelligence talents and industrial layout to gain the initiative in the competition in the artificial intelligence industry.

　　Build and maintain "digital expressways" and increase related positions

　　"Please plan the fastest way home." A car owner in Hangzhou got into the car and issued an order to the intelligent system installed in the car. Almost at the same time, the vehicle starts navigation and selects the best path based on real-time traffic information. In order to respond quickly to voice commands and allow the system to make reliable judgments quickly, data transmission needs to be more efficient.

　　Data is the "fuel" for artificial intelligence big model training. Only through training of massive data can large models have strong generalization capabilities. In recent years, data scientists, analysts, engineers, etc. have become more popular positions in the field of artificial intelligence. At the same time, some professions that focus on technology foundations have also attracted attention from technology companies because they are in an important link of laying the foundation and benefiting the long-term.

　　Xi Shaoke, a fresh graduate of Zhejiang University, received a recruitment notice from Alibaba Cloud Intelligent Group through campus recruitment not long ago. His position is a senior development engineer in network technology. "The infrastructure business department I applied for is responsible for providing users with basic cloud services such as computing, storage, and networking." In her opinion, this position is to build and maintain "digital highways" and "supercomputing factories" for the world of artificial intelligence.

　　"During the training process of big model, massive amounts of data enter and exit the server. We will study and design a more spacious and fast data channel to make the training faster and the cost less." Xi Shaoke said that data must not only "run fast" but also "not get lost." For example, when the server goes down, data transmission needs to automatically switch routes to bypass "dangerous sections". “Our work can make the AI ​​infrastructure more efficient and stable.”

　　Why has the demand for such jobs increased? Xi Shaoke believes that: First of all, artificial intelligence network infrastructure involves multiple sub-sectors such as hardware transmission, protocol design, fault tolerance, etc., and requires a large number of network "craftsmen" to show their strengths. Secondly, once there is a problem with the technical base, it will affect user safety and corporate interests, which requires the ultimate polishing of every technical detail. Finally, with the rapid development of artificial intelligence, network technology must be upgraded simultaneously, not only to catch up with existing technologies, but also to pre-research future needs, and more manpower is needed to participate in the rapid iteration.

　　According to reports, Alibaba Group has launched the spring 2026 intern recruitment. We pay more attention to the direction of artificial intelligence, with relevant positions accounting for nearly 50%; some artificial intelligence business departments account for a higher proportion, with more than 80% on Alibaba Cloud. Cao Bin, senior recruitment director of Alibaba Cloud, introduced that the company's data-related positions have increased. For example, multimodal engineers develop and optimize artificial intelligence models that support multimodal data such as text, images, audio, and video; for example, compliance experts formulate data privacy protection strategies for artificial intelligence systems to ensure that technology applications comply with laws and regulations.

　　In campus recruitment, how is the level of people and positions? Cao Bin told reporters that as the demand for new jobs expands, there is a certain structural shortage of talents. "From the perspective of enterprise employment, while laying a good theoretical foundation, we hope to increase practical experience related to application scenarios, and resonate with talent training and technical iteration."

　　Faced with the "high popularity" of industrial development, experts said that talent training should be "cold thinking". "The industry has a great demand for high-level and comprehensive capabilities in artificial intelligence talents." Wang Liang, a researcher at the Institute of Automation, Chinese Academy of Sciences, said that in recent years, the application for artificial intelligence majors in colleges and universities has increased, but the key lies in optimizing the talent training structure, paying attention to quality improvement and the reasonable distribution of talents. In the future, with the in-depth application of artificial intelligence technology, the talent needs at different levels and fields will be more subdivided. Colleges and universities should pay more attention to the differentiated cultivation of talents in their professional settings and course design to meet the needs of different industrial directions. (Reporter Huang Chao)

[Editor in charge: Ran Xiaoning]