AIGC large model algorithm engineer (autonomous driving direction)_XC

AIGC large model algorithm engineer (autonomous driving direction)_XC at Bosch Group in Shanghai, Shanghai, China.

Responsibilities

Responsible for the research, development and optimization of AIGC (artificial intelligence generated content) related algorithms, including but not limited to image generation, video generation, 3D model generation, text generation image/video, etc., and applying them to autonomous driving scenarios.

• Deeply understand the end-to-end algorithm model of autonomous driving (such as the integrated perception-decision-control model), and be responsible for the exploration and implementation of innovative applications of AIGC technology.
• Participate in the generation and enhancement of autonomous driving data sets, use AIGC technology to improve data diversity, scene coverage and annotation efficiency, and provide high-quality data support for model training.
• Responsible for the integration and testing of AIGC models in autonomous driving simulators, including virtual scene generation, dynamic target generation, weather/light conditions simulation, etc., to improve the realism and testing efficiency of the simulation system.
• Continue to pay attention to cutting-edge technologies in the field of AIGC and autonomous driving, conduct technical research, paper reproduction and innovative algorithm design, and transform research results into actual product functions.
• Work closely with perception, planning, control and other teams to effectively integrate AIGC technology with existing autonomous driving modules to jointly promote the iteration and performance improvement of end-to-end autonomous driving models.
• Responsible for the engineering implementation of algorithms, including model training, deployment, performance optimization and maintenance, to ensure efficient and stable operation of algorithms in actual systems.

Requirements

• Master's degree or above in computer science, artificial intelligence, automation, electronic engineering and other related majors.
• More than 3 years of experience in developing AIGC or related deep learning algorithms, familiar with common generative models (such as GAN, VAE, Diffusion Models, etc.) and their variants, and have practical project experience.
• Proficient in Python programming and proficient in deep learning frameworks such as PyTorch/TensorFlow.
• Have a solid mathematical foundation and be familiar with linear algebra, probability theory, mathematical statistics and optimization methods.
• Have a strong interest in the field of autonomous driving and understand the basic principles and modules of autonomous driving (perception, prediction, planning, control, etc.).
• Bonus points: Applicants with experience in autonomous driving related projects, or experience in end-to-end autonomous driving model research and practice will be given priority.
• Bonus points: Applicants with experience in data generation, scene simulation or virtual testing based on AIGC will be given priority.
• Have good English literature reading skills and be able to track international cutting-edge technologies.
• Have excellent learning ability, problem-solving ability and teamwork spirit.

Benefits

• Competitive salary and benefits system.
• Opportunities to gain exposure to the industry’s most cutting-edge AIGC and autonomous driving technologies.
• Broad career development space and personal growth platform.
• Dynamic team and open and innovative working atmosphere.