智能驾驶闭环端到端研究员_CR
bosch group • Shanghai, Shanghai, China
30 天前
职位描述
- Company Description* Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. *Job Description* * 基于camera,radar和lidar,研发用于自动驾驶的closed-loop E2E相关算法,例如用于驾驶的two-stage和one-stage模型. * 参与车辆上ADAS E2E pipeline的设计与部署,包括上游和下游模块之间的交互. * 负责于端到端相关的数据准备和corner case挖掘,支持模型训练于验证. * 与博世中国及全球的业务部门合作,进行需求分析,技术转移,并评估新概念的市场吸引力. * 在中国范围内侦察,识别和跟踪新技术趋势与新兴技术,分析其对博世研发战略的影响,并识别关键合作伙伴. * 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. * Participate in the design and deployment of ADAS E2E pipeline on vehicle, with interaction between upstream and downstream modules. * In charge of data preparation & corner case mining for E2E model training & validation. * 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. *Qualifications* * 拥有计算机科学,电气工程,机电一体化,机械工程或相关专业的优秀硕士学位,博士学历更佳. * 在E2E模型领域有扎实的知识,特别是在perception和AI planner方面. * 熟悉E2E领域的SOTA方法,例如VAD,PDM-Hybrid,Diffusion Models,sparsedrive,diff-vla等. * 对AI planner相关数据集(如NuPlan)有深入理解. * 具备E2E ADAS研发经验者优先. * 熟悉现代AI框架,如PyTorch,HR HAT. * 具有在车载ADAS计算单元上设计和部署perception模块的经验. * 熟悉Python或C++. * 熟悉Linux操作系统. * 具有ADAS传感器(如cameras,radars,LiDARs)相关经验. * 具备国际经验者优先. * 热爱创新,具备出色的问题解决能力和创业思维. * 强大的团队合作精神,能够自主高效地工作. * 优秀的沟通能力,英语口语和书面表达流利. * 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, especially one-perception and AI planner. * Strong knowledge in E2E SOTA methods, such as VAD, PDM-Hybrid, Diffusion Models, sparsedrive, diff-vla. * Deep understanding on AI planner datasets, such as NuPlan. * 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).