主要职责/Your Responsibilities:

Technical key words:

• Participate in the development and performance tuning of the autonomous driving data logger, including efficient recording and synchronization of multi‑sensor data (cameras, LiDAR, CAN, etc.).
• Contribute to the development of data cloud platforms, building high‑throughput data ingestion, computation, storage, and query services to support massive road‑test data replay, analysis, and visualization.
• Support design and implement RESTful/gRPC APIs for data management, reporting systems, or replay services, enabling internal algorithm and testing teams to efficiently use data.
• Participate in building up of data pipeline incl. preprocessing, cleaning, compression, and storage (online/offline) for multi‑modal sensor data, bridging the data link from vehicle side to cloud.
• Support coordination with various stakeholders and improvement of internal development process

岗位要求/Required Qualification:

1. Bachelor’s degree or above in computer science, electronics, automotive engineering or a related field.
2. Good knowledge with proven practical experience in C++. Familiar with at least one of Python, Java, or Go preferred

• Basic Linux development experience. Experience with sensor interfaces (UART, CAN, Ethernet) or hardware communication is a plus.
• Basic knowledge of HTTP, REST APIs, databases (MySQL, PostgreSQL, or Redis). Experience with Docker and Git preferred
• Basic understanding of message queues (Kafka), big data frameworks (Spark/Flink), or time‑series databases
• Practical project experience (course projects, internships, competitions, open source) demonstrating quick learning and problem‑solving abilities
• Strong interest in autonomous driving, robotics, or data platforms; knowledge of ROS/Apollo or cloud services.
• Understanding of Kubernetes, distributed systems fundamentals, or observability technologies (Prometheus, Grafana).
• Enthusiastic about exploring new technologies, good team communication, and self‑motivation
• Driving license preferred