BYR Achieve · 镜像论坛

【内推】【社招】NVIDIA招聘Senior Infrastructure Software En

2023/8/30镜像同步0 回复

经验三年以上的都可以试一下，组内直推，简历直接给组长筛选，目前流程走的还挺快的，符合要求的简历第二天流程就能推进我们是高精地图的基础架构平台，如果你熟悉k8s/调度平台/大数据，流式处理平台如spark，hbase，kafka，flink等都很加分，欢迎投递！ base地北上广三地可选有意愿的请发送中英文简历至lanxins@nvidia.com，注明岗位名称 NVIDIA is developing AV software to power L2-4 autonomy in consumer vehicles, and as part of that effort, HD mapping software is required for localization, it provides crucial information for driving, and it increases safety via redundant systems. Building large-scale HD maps at low cost is a big challenge. It requires a strong infrastructure to store and process PBs of data. We're looking for professionals who are passionate about solving problems for modern AI infrastructure. In this role, you will work alongside leaders in the HD map industry to build a reliable, scalable and efficient HD map infrastructure. What You'll Be Doing: Build and improve a reliable HD map pipeline in both AWS and on-premise clusters. Improve the stability, scalability and traceability of our map making pipelines. Design architectures of high-performance cloud software. Design and implement tools and libraries to boost the efficiency for other teams. Resolve a wide range of technical issues to ensure the throughput of our production pipelines. What we need to see: Bachelor, Master or PhD degree in computer science, software engineering or equivalent experience. 5+ years software development experience or 3+ infrastructure development experience. Excellent knowledge on data structure, algorithm and operating systems. Strong programming in one of Python, Go, Java or C++ with robust and efficient code. Familiar with Linux, Bash programming. Experience in software development based on AWS or other cloud providers. Familiar with both relational and non-relational databases. Strong communication and teamwork skills. Outstanding problem solving skills. Ways to stand out from the crowd: Background in system metrics monitoring and alerting. Experience in big data and stream processing(Hadoop, Spark, Kafka or Flink) Experience in task scheduling, resource management in large distributed systems. Solid understanding in Kubernetes. A history of building infrastructure for AI.

订阅后，新回复会通过你的通知中心匿名送达。