高级软件工程师，数据采集 - 自动驾驶车辆
Senior Software Engineer, Data Ingestion - Autonomous Vehicles
NVIDIA正在招聘一名高级软件工程师，加入我们的自动驾驶汽车部门，负责改进数据采集平台！作为自动驾驶汽车基础设施的数据采集工程师，你将在管理并优化从各种来源向我们的自动驾驶系统传输数据的过程中发挥关键作用。你的主要职责是确保数据的无缝采集和高效服务，以支持关键操作。
你将负责的工作：
- 从多种数据源实现和维护数据采集流水线，确保自动驾驶数据持续可靠地流入系统。
- 设计并优化数据服务机制，在实时和批量处理场景中为不同团队和应用提供自动驾驶数据。
- 监控数据流水线和服务，主动识别并解决任何问题，确保数据的可用性和可靠性。
- 与跨职能团队合作，提高数据处理效率，降低延迟，并提升整体系统性能。
- 实现验证和数据质量检查，确保采集数据的完整性和准确性。
- 扩展数据基础设施，以处理我们不断增长的车辆车队所产生的日益增加的自动驾驶数据量。
- 创建并维护详细的数据采集和服务流程文档，确保团队内部的知识共享。
- 与自动驾驶开发团队紧密合作，了解数据需求，并为数据驱动解决方案的改进做出贡献。
我们期望看到：
- 计算机科学、工程或相关领域的学士学位（或同等经验）。
- 在自动驾驶汽车和/或软件基础设施领域有8年以上相关经验。
- 在开发分布式系统方面有丰富的经验。
- 有设计和构建大规模系统数据采集流水线的实操经验。
- 熟悉数据仓库概念、数据建模和数据库管理系统。
- 精通Go和C++，并在Linux环境中使用Python或Matlab等脚本语言有经验。
- 熟悉分布式计算框架，如Apache Spark或Hadoop。
- 有数据流技术（如Kafka、RabbitMQ）的实际经验者优先。
- 熟悉基于云的平台（AWS、GCP或Azure）和容器化技术（Docker/Kubernetes）。
- 优秀的解决问题能力，能够在快节奏、协作的环境中工作。
查看英文原文
NVIDIA is hiring a Senior Software Engineer to work on improving the data ingestion platform in our Autonomous Vehicles division! As a Data Ingestion engineer for Autonomous Vehicles Infrastructure, you will play a crucial role in managing and optimizing the flow of data from various sources into our AV systems. Your primary focus will be on ensuring the seamless ingestion and efficient serving of AV data to support critical operations.
What you'll be doing:
- Implement and maintain data ingestion pipelines from diverse sources, ensuring a continuous and reliable flow of AV data into the system.
- Design and optimize data serving mechanisms to deliver AV data to different teams and applications in real-time and batch processing scenarios.
- Monitor data pipelines and services to proactively identify and resolve any issues, ensuring data availability and reliability.
- Collaborate with cross-functional teams to improve data processing efficiency, reduce latency, and enhance overall system performance.
- Implement validation and data quality checks to ensure the integrity and accuracy of ingested data.
- Scale data infrastructure to handle the ever-increasing volumes of AV data generated by our expanding fleet of vehicles.
- Create and maintain detailed documentation for data ingestion and serving processes, ensuring knowledge sharing across the team.
- Work closely with the AV development team to understand data requirements and contribute to the enhancement of data-driven solutions.
What we need to see:
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- 8+ years of relevant experience working on autonomous vehicles and/or software infrastructure.
- Extensive expertise in developing distributed systems.
- Proven experience in designing and building data ingestion pipelines for large-scale systems.
- Strong proficiency in data warehousing concepts, data modeling, and database management systems.
- Proficient in Go, C++ and have experience with scripting languages such as Python or Matlab in a Linux environment
- Familiarity with distributed computing frameworks like Apache Spark or Hadoop.
- Hands-on experience with data streaming technologies (e.g., Kafka, RabbitMQ) is a plus.
- Knowledge of cloud-based platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 18, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Originally posted on Himalayas