Senior Software Engineer, NGC Data Platform
NVIDIA
Santa Clara, California, United States
What you will be doing: Design and build software code and cloud services for Data Management, including providing a catalog and metadata storage datasets Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating with their systems appropriately. Collaborate with the NVIDIA research team to use new Storage and Compute innovations - GPU direct storage, DPU. What we need to see: BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) 5+ years of proven experience Experience building robust services at scale. Build and maintain high volume / low latency data platform services Strong foundation in algorithms and data structures and their real-world use cases. Experience with distributed systems, databases, and Big Data systems (Spark, Hadoop). Experience building and shipping services around Kubernetes, Cloud Native, and Cloud Service Providers. Experience with one of the leading cloud providers: AWS, GCP, or Azure. Experience collaborating with teams to write software to support cloud services. Experience with backend systems and software engineering. Programming experience in a relevant language, e.g., Go, Python, C/C++, Java. Understanding of standard approaches to software engineering, software architecture, and design. Ability to document software and services. Break down projects into practical tasks. Communicate design, status, and other sophisticated subjects in written, visual, and oral formats. Ability and passion for working across teams and with collaborators on all sides of the project Ways to stand out from the crowd: Hands-on experience in building and managing large-scale data platform services. Experience building products and services to solve enterprise-grade customer data analytics problems. Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), Machine Learning infrastructure toolset (Feature Stores) Computer science background with Distributed systems as a specialization