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公司介绍
博世公司从事汽车与智能交通技术、工业技术、消费品和能源及建筑技术的产业。作为全球领先的技术与服务供应商，2022年博世的整体销售额达 882亿欧元，同比增长 12%。博世在中国共拥有60家公司，5.8万名员工。
博世亚太研究院位于上海，是由跨学科的科学家组成的国际研究团队，主要负责前沿技术预研以及博世集团未来产品开发，目标是为满足未来亚太市场对新产品的技术需求打下坚实的科研基础。作为研究团队的一部分，招聘岗位将在机器人, 自动驾驶和计算机视觉的创新解决方案中发挥重要的作用。
在招岗位(社招全职)
  • Research Scientist for Computer Vision and Deep Learning
  • Research Scientist: Reliable Distributed System
岗位详情
Research Scientist for Computer Vision and Deep Learning
Working location: 333 Fuquan Road North, Changning District, Shanghai
Job Description
Corporate Research – Research and Technology Center Asia Pacific is a team of international & interdisciplinary scientists, driving cutting edge research to leverage on Asia’s excellent expertise. Scientifically verified knowledge and insights are the foundation of our sustainable solutions. Through our innovation, we develop a vision for the future product of Bosch, evaluate its feasibility, and convert it into practical solutions. We set trends and enable new business opportunities for Bosch.
- Research and development of innovative computer vision, deep learning concepts for Bosch in China and worldwide in the domain of robotics and automation
- Innovative Research and advanced development of 3D point clouding processing, e.g., clustering, registration, and 2D image processing algorithms, e.g., instance segmentation, for automation use cases, systems, demonstrators, and proof-of-concepts.
- Research of innovative concepts of multiple modality perception using image, point cloud, language, and foundation models.
- Participate in the design, development, and validation of the perception pipeline.
- Application of use cases (computer vision, deep learning, robotics) in Bosch plants in China and worldwide
- Cooperation with Bosch corporate research international team and business units worldwide for requirement analysis, evaluate market of new concepts, key technology development, and knowledge transfer for commercialization
- Scouting, identification and tracking of new trends and emerging technologies of robotics in China, derive impacts on Bosch research strategy and identify key partners
- Collaborate with Chinese research institutes and participate in / lead joint projects
Qualifications
- Excellent master degree, ideally PhD, in the field of computer vision, artificial intelligence, robotics, computer science, or related.
- Excellent R&D experiences, deep and up-to-date know-how in 3D computer vision, e.g., 3D point cloud processing, including filtering, segmentation, recognition, registration, and clustering.
- Rich experience in 2D computer vision, e.g., semantic segmentation, instance segmentation.
- Rich experience in multi-modal perception (image, point cloud, language, foundation models).
- Practical hands-on experience in programming skills, such as, C/C++, Python, PyTorch, PCL, OpenCV, Halcon, etc.
- Good knowledge and developing experience in cross platforms of Linux, ROS, and popular development IDEs.
- Good Publication records in top-level conferences, e.g., NeurIPS, ICML, ICLR, CVPR, RSS, etc.
- International experience is a plus.
- Passion for innovation & entrepreneurial mindset.
- Excellent communication skills, fluent in Chinese and English (oral and written).
Research Scientist: Reliable Distributed System
Working location: 333 Fuquan Road North, Changning District, Shanghai
Job Description
Corporate Research –Research and Technology Center Asia Pacific is a team of international & interdisciplinary scientists, driving advanced research to leverage Asia’s broad expertise. Scientifically verified knowledge and insights are the foundation of our sustainable solutions. Through our innovation, we develop a vision for the future product of Bosch, evaluate its feasibility, and convert it into practical solutions. We set trends and enable new business opportunities for Bosch.
- Design and develop a flexible and scalable system architecture to enable robust-real-time operation of a large-scale distributed device network that mixes safety- and mission critical operations with general purpose applications
- Develop this architecture to seamlessly integrate distributed resources from high performance cloud computing to edge computing devices and dynamically allocate resources based on Quality-of-Service (QoS) application requirements
- Use this architecture to develop real-time applications for the optimal and automated distribution of perception and intelligence in a distributed system, e.g. in autonomous driving, intelligent transportation, and V2X use cases
- Create high-impact research leading to publications at leading technical conferences and journals
- Cooperate with internal and external partners worldwide, e.g. Chinese research institutes, and participate in / lead joint projects
- Analyze technology and market trends and derive impacts on research strategy and identify key partners
Qualifications
Required:
- Excellent Masters degree, ideally PhD, in the field of computer science, IT infrastructure systems, electrical engineering, communications engineering, or related fields
- Expertise in at least two related topics (edge/cloud computing, distributed systems, dependable/reliable system architecture, quality of service system architecture, IoT, multi-agent frameworks), complemented by strong general knowledge of both theory and practice across the field
- Proficiency and practical experiences in one (or more) programming languages, e.g. C, C++, Java, Python, Rust, GO
- Passion for innovation, problem solving & entrepreneurial mindset
- Initiative and willingness to implement research results in industrial environment
- Strong team player with autonomous and efficient working style
- Excellent communication skills, fluent in English (oral and written)
Preferred:
- Ability to architect/design highly complex technical systems (e.g. Apache Spark, Kubernetes, Hadoop) and demonstrate their viability/value via creation of advanced prototypes
- Knowledge in functional safety is a strong plus
- Project experience in the automotive or smart infrastructure domain, e.g. autonomous driving, driver assistance systems, V2X is a strong plus
- Experience in one or more of the following areas: ROS, container technologies (e.g. Kubernetes, Docker), wireless communication, 5G, is a plus
- Knowledge of sensor or perception technologies (e.g. camera, radar, LiDAR, sensor fusion) is a plus
- International experience is a plus
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