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In fact, starting from 2020, due to the impact of the new crown epidemic, many companies with HPC needs have accelerated the pace of cloud migration Such as core making, pharmaceuticals, AI, industrial manufacturing... Have you noticed that many of the above industries have been written into the next five-year plan? The ^(*￣(oo)￣)^ on the tuyere is talking about us, right? More and more companies are realizing the importance of high-performance computing, the combination of software and hardware, and increasing computing power. Many companies are recruiting 1. Companies with hardware products such as mobile phones and ARVR equipment, such as Huawei (with 2012 laboratories and intelligent computing departments); Glory; OPPO; VIVO. There are also companies in the XR direction, such as PICO acquired by ByteDance, and Nreal in Beijing. However, the XR company has been in business for a relatively short time, and the team has just started to form. It is also aware of the importance of chips and the combination of software and hardware. 2. Automatic Driving companies and OEMs, such as DJI, Weilai, and Xiaopeng, all have HPC teams (on the one hand, they serve the combination of hardware and software in vehicles to maximize computing power, and on the other hand, they serve their own chip teams) 3. Chip semiconductor companies, Nvida has been recruiting HPC people in China. In recent years, the country has vigorously supported the semiconductor industry, and many chip companies have risen. Many companies are recruiting, such as Baidu Kunlun Core, Horizon, Black Sesame, etc. 4. Quantitative hedge private equity funds require a lot of calculations, and require calculation accuracy and speed. We are recruiting, such as Jiukun, Jiaqi Investment, etc. For details, please contact me privately. 6. AI computing framework team in Internet companies
Students who graduate from the High Performance Computing track have a variety of employment and career development opportunities after graduation. Here are some common places to go:
Academic research institutions: Many HPC graduates choose to work in scientific research at universities, research institutions or laboratories. They can participate in cutting-edge research projects in the field of high-performance computing, explore new algorithms and optimization techniques, and solve complex scientific and engineering problems.
Research and development departments: Many technology companies, large enterprises and innovative enterprises have research and development departments dedicated to the research and development of high-performance computing technologies and applications. Graduates can work in these departments in algorithm research and development, software engineering, system optimization, etc., and develop high-performance computing software and solutions.
Big data and artificial intelligence fields: High-performance computing is closely related to big data analysis, artificial intelligence and other fields. Graduates can find employment opportunities in big data analysis platforms, artificial intelligence algorithm optimization, deep learning training, etc. These fields have a high demand for high-performance computing, which can utilize large-scale computing resources for complex data processing and model training.
Supercomputing centers: Many countries and regions have supercomputing centers to provide high-performance computing resources and technical support for scientific research institutions, universities and enterprises. Graduates can work in these centers as high-performance computing system administrators, application support engineers or research and development personnel, responsible for managing and maintaining supercomputer systems, and providing technical support and training to users.
Self-employment and consulting services: Some high-performance computing graduates choose to start their own companies to provide high-performance computing-related software development, consulting services or solutions. They can provide professional support and customized solutions for high-performance computing for scientific research institutions, enterprises and industries.
It should be noted that the field of high performance computing is a constantly evolving and changing field, and employment opportunities and career development directions will also be affected by changes in technology and the market. Therefore, it is very important to continue to learn, keep an eye on new technologies, and constantly improve your skills to adapt to the development of the industry and changes in demand, and to maintain competitiveness in career development.
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In fact, starting from 2020, due to the impact of the new crown epidemic, many companies with HPC needs have accelerated the pace of cloud migration
Such as core making, pharmaceuticals, AI, industrial manufacturing...
Have you noticed that many of the above industries have been written into the next five-year plan?
The ^(*￣(oo)￣)^ on the tuyere is talking about us, right?
More and more companies are realizing the importance of high-performance computing, the combination of software and hardware, and increasing computing power. Many companies are recruiting
1. Companies with hardware products such as mobile phones and ARVR equipment, such as Huawei (with 2012 laboratories and intelligent computing departments); Glory; OPPO; VIVO. There are also companies in the XR direction, such as PICO acquired by ByteDance, and Nreal in Beijing. However, the XR company has been in business for a relatively short time, and the team has just started to form. It is also aware of the importance of chips and the combination of software and hardware. 2. Automatic Driving companies and OEMs, such as DJI, Weilai, and Xiaopeng, all have HPC teams (on the one hand, they serve the combination of hardware and software in vehicles to maximize computing power, and on the other hand, they serve their own chip teams)
3. Chip semiconductor companies, Nvida has been recruiting HPC people in China. In recent years, the country has vigorously supported the semiconductor industry, and many chip companies have risen. Many companies are recruiting, such as Baidu Kunlun Core, Horizon, Black Sesame, etc. 4. Quantitative hedge private equity funds require a lot of calculations, and require calculation accuracy and speed. We are recruiting, such as Jiukun, Jiaqi Investment, etc. For details, please contact me privately.
6. AI computing framework team in Internet companies