ADAS数据闭环工程师

Key Task：
Design, build, and maintain cloud-based components of the autonomous driving data platform.
Develop data pipelines for collection, cleaning, annotation, and processing of autonomous driving data.
Develop with tools such as Linux/Ubuntu, Docker, and Python to streamline data workflows and platform automation.
Develop and enhance the integration of n8n or similar frameworks to allow users to create and manage workflows.
Monitor and optimize platform performance to ensure efficiency, scalability, and reliability. standards and regulatory requirements.
Develop and implement custom workflows for sensor fusion, AD function integration, and world simulation as part of the
autonomous driving platform.
Support the design and development of training and evaluation platforms for tasks such as task scheduling, quota
management, and permissions management.
Work on building and enhancing the visualization platform, including components like custom visual components, layers, and PV/BEV visualization.
Manage and integrate standardized data sets, ensuring the smooth exchange and management of data within the system.
Implement and maintain tools to manage training resources, quotas, and security within the platform.
Develop and maintain the frontend of web applications, ensuring responsiveness and cross-browser compatibility.
Collaborate with UX/UI designers to implement design prototypes into high-quality, interactive user interfaces.
Write clean, maintainable, and efficient code using HTML, CSS, JavaScript, and modern frontend frameworks (React, Angular, Vue.js, etc.).
Optimize application for maximum speed and scalability.
Work closely with backend developers to integrate frontend interfaces with backend services and databases.
Troubleshoot, debug, and optimize code and platform components to ensure high efficiency and reliability.
Qualification and skills:
This position requires a Master/ Bachelor degree in automotive, electrical, computer
engineering or respective field.
At least 5 years of professional working experience. Experience in Development of ADAS Big Loop Platform is preferred.
Proficiency in cloud platform development, including services relevant to autonomous driving
Strong skills in programming languages such as Python, JavaScript, and C++, and experience with Docker, Kubernetes, and cloud platforms
Familiarity with data collection, cleaning, and annotation processes for autonomous driving datasets
Knowledge of ROS/CyberRT development and understanding of rosbag file structures to support logsim platform development
Experience with building and maintaining data pipelines management and cloud services.
Knowledge of task scheduling, quota management, and permissions control systems.
Experience with CUDA/tensorRT tools to accelerate deep learning model inference.
Familiar with the development and deployment of applications on Ali-Cloud and have relevant project experience
Strong experience with HTML, CSS, JavaScript, and frontend frameworks like React, Angular, or Vue.js.
Understanding of n8n or similar workflow automation tools is a plus
Familiarity with RESTful APIs and AJAX for asynchronous data loading
Good communication skills and the ability to collaborate effectively across cross-functional teams. Excellent business
English skills (written and spoken), German and Chinese language skills are beneficial