What you will be doing:
Design and build software code and cloud services for Data Management, including providing a catalog, managing metadata and life cycle of datasets and checkpoints
Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating appropriately with their systems.
Collaborate with the NVIDIA research team to utilize new storage and compute innovations, including GPU direct storage and DPU.
What we need to see:
BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 5+ years of proven experience
Strong foundation in algorithms and data structures and their real-world use cases.
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.
Background 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 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
You will also be eligible for equity and .
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