Unit introduction

WAIC 2022 frontiers of science during a plenary session of the Shanghai AI Lab released“OpenXLab PU source”artificial intelligence Open Source open system. As one of the important items OpenComputeLab PU computing artificial intelligence open computing system, by the laboratory for AI training and Computing Research Center released, designed to allow the AI to calculate a more open, more efficient, more simple. It pioneered“operator profiles”from the algorithm perspective, the system of carding deep learning-related hundreds of the operator, the formation of classification and grading system, and build an open evaluation framework for computing the performance of a comprehensive in-depth analysis of the upstream and downstream collaboration evolved to provide a valuable reference guide.

AI training and Computing Research Center dedicated to define and lead the new generation of AI training with the computing system build, building inclusive AI computing and the compilation system, the development of highly-scalable, wide open, excellent energy efficiency, a strong adaptation of the system, receiving the support of artificial intelligence technology is the cornerstone of work.

For General intelligent and interdisciplinary future development, the centre will create a new generation of open artificial intelligence training system, the definition of the new training system programming paradigm, the breakthrough multidimensional parallel technology, adaptive training technology as well as the diverse environment of efficient distributed collaboration technology, to achieve ultra-large model of efficient training, to explore the model training efficiency limit, to meet the universal smart and ultra-large-scale scientific computing integration needs.

The center also will continue to explore the open artificial intelligence computing system, research and breakthrough for multi-calculated after the end of the calculation compiler technology, pushing computing power and algorithm development of the synchronous evolution of the cloud and enjoy the end of a variety of computing unit of the efficient adaptation and training support, to meet the new generation of intelligent computing infrastructure to bring new computing needs.

Job description

Job responsibilities:

1. For deep learning cutting-edge algorithms and architectures research, and combined with the line-of-business researcher pain points, and constantly enrich the training framework functions;

2. According to the needs of the business lines of the model in a self-developed deep learning framework on adaptation and tuning, mainly to optimize the training time and the memory occupied;

3. According to the algorithm landing scenarios needs, such as security, mobile, face, Autopilot, etc., the algorithm framework and associated tool chain to improve and customize.

Recruitment conditions:

1. Computer based solid, proficient in C/C++, skilled use of design patterns and methods, with good software engineering thought and ability;

2. Master machine learning, deep learning and other artificial intelligence techniques of the basic principles, have a related industry or research experience;

3. Familiar with computer architecture, parallel computing basic techniques and GPU parallel computing fundamentals, relevant research experience preferred;

4. In NVIDIA, AMD, etc. any of a GPU architecture on the over side-by-side development or performance tuning is a plus;

5. There are algebraic matrix operations, computer vision and image processing algorithms on different processors transplant experience is preferred;

6. There is a performance analysis and optimization experience is preferred, including, but not limited to, the system load analysis, the GPU load analysis, memory, memory usage analysis, etc.

7. Education: Master's degree and above

8. Professional requirements: computer

Application process

发送简历至邮箱application@techtalentsuk.com

Email and resume name format: Name-Application for the post of name-to-school trick/shop trick/internship）

Unit description

WAIC 2022 frontiers of science during a plenary session of the Shanghai AI Lab released“OpenXLab PU source”artificial intelligence Open Source open system. As one of the important items OpenMMLab 2.0 PU visual vision algorithms open source system also officially unveiled. The system implements from the model training, deployment to the reasoning seamless, widely adapted training and inference chip, shows the new architecture, the new algorithm, a new state, ushering open source after the big version upgrade. Currently, the platform has been open more than 2000 algorithm model on GitHub to get more than 6 million star standard, is global in more than 100 countries and regions of the developers use.

OpenMMLab team set open source open, academic research, industry, applications, system development, for one, aims to build the leading international computer vision open source algorithm platform for the industry to provide advanced R & D mode and system, system, standardized, high-quality coverage of the field of computer vision all directions.

Job description

Job responsibilities:

1. Research the industry's cutting-edge algorithms, including but not limited to, classification, detection, segmentation, 3D sensing, target tracking, action recognition, pose estimation, generation against the network and self-supervised learning;

2. Responsible for OpenMMLab open source project development and maintenance, the development of a new algorithm framework, implement SOTA algorithms to enhance the user experience and project impact;

3. Around OpenMMLab build system tool chain and platforms, accelerated algorithms from research to production the conversion, support partner business landing.

Recruitment conditions:

1. Computers, artificial intelligence-related professional doctorate; and

2. In-depth understanding of computer vision in one or more directions, one for identity in the top or top papers high quality papers;

3. Proficiency in Python and PyTorch, and a good project implementation capacity;

4. Familiar with C++and CUDA, and a familiar OpenMMLab platform is preferred;

5. In the technical community influential who was involved in and contribution to the well-known open source project.

Application process

Send your resume to email: application@techtalentsuk.com

邮件及简历命名格式：姓名 - 申请的岗位名称 -（校招/社招/实习）