职位描述
立即申请
职位名称:  ADAS Data Development
公司:  大众酷翼（北京）科技有限公司
发布起始日期:  2026/3/31
职位地点:  上海
职能:  研发
职位描述: 

主要职责/Your Responsibilities:

Technical key words:

  1. Manage and optimize distributed computing tasks, building high-throughput data ingestion, computation, storage, and query services.
  2. Develop APIs for replay, data management, and reporting systems.
  3. Design and optimize data models using SQL and NoSQL databases, and integrate them with existing legacy Java systems.
  4. Using Docker and Kubernetes to deploy and manage services on cloud platforms
  5. Data Pipeline Development: Build and optimize multimodal sensor data preprocessing pipelines.
  6. Optimize Data Logger software, responsible for efficiently collecting and caching sensor data from peripherals such as cameras, LiDAR, radar, GPS/IMU, etc.
  7. Build reliable solutions for online and offline data transmission.

岗位要求/Required Qualification:

  1. Work Experience: 3+ years of professional backend development experience.
  2. Proficiency in one of the Python & Java and their mainstream ecosystems (e.g., Spring Boot), with the ability to build complex applications and production-level code. Must also have project experience with the other language (minimum one project).
  3. Hands-on experience with SQL databases (e.g., MySQL) and NoSQL databases (e.g., Elasticsearch, TDengine, Redis).
  4. Solid understanding of distributed systems principles.
  5. Practical experience with big data technologies (e.g., Apache Spark, Kafka, Flink, Dask) for large-scale data processing.
  6. Hands-on experience with public cloud services. Familiarity with their object storage, file storage, compute, and networking services.
  7. Proficient in using container orchestration platforms such as Docker and Kubernetes.
  8. Experience building REST APIs. Knowledge of gRPC and ProtoBuf, with mastery of related technologies like service discovery and load balancing.
  9. Ability to perform system programming and debugging in Linux environments; experience interacting with hardware peripherals (e.g., reading data via Ethernet, USB, CAN interfaces).
  10. Experience handling high-throughput I/O, inter-process communication, or multi-threaded programming.