ADAS Closed-loop E2E Research Scientist /智能驾驶闭环端到端研究科学家_CR
- Shanghai
- Permanent
- Full-time
- Research and development of closed-loop E2E related algorithms for autonomous driving, based on camera, radar and lidar, such as two-stage and one-stage models for driving, world models for E2E data synthesis and validation.
- Participate in the design and deployment of ADAS E2E pipeline on vehicle, with interaction between upstream and downstream modules.
- Cooperation with Bosch business units in China and worldwide for requirement analysis, technology transfer, and to evaluate market attractiveness of new concepts.
- Scouting, identification, and tracking of new trends and emerging technologies in China, deriving impacts on Bosch research strategy, and identifying key partners.
- Excellent master's degree, ideally PhD, in the field of computer science, electrical engineering, mechatronics, and mechanical engineering or related.
- Strong knowledge in E2E model domain or world model domain, such as perception and AI planner, video synthesis based on camera/LiDAR/radar.
- Strong knowledge in E2E or world model SOTA methods, such as VAD, PDM-Hybrid, Diffusion Models, UniScenes, DriveDreamer, and MagicDrive.
- Experience on E2E ADAS research & development is a strong plus.
- Familiarity with modern AI frameworks: Pytorch, OpenMMLab, HR HAT.
- Experience with designing and deploying perception on onboard ADAS computation unit.
- Familiarity with Python, or C++.
- Familiarity with Linux.
- Experience in ADAS sensors, such as cameras, radars, and LiDARs.
- International experience is a plus.
- Passion for innovation, problem-solving & entrepreneurial mindset.
- Strong team player with an autonomous and efficient working style.
- Excellent communication skills, fluent in English (oral and written).