SW Engineer (Campus)

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

/Required Qualification: Bachelor’s degree or above in computer science, electronics, automotive engineering or a related field. 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