NVIDIA DGXC Data Services team is developing a cloud-native stack of software services and tools for managing data across hybrid and multi-cloud infrastructures, aiming to solve challenges in storage, access, and data management for exabyte-scale, high-performance GPU-based training and inference jobs.
Requirements
- 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.
- Hands-on experience in building and managing large-scale data services.
- 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
Responsibilities
- 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.
Other
- BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 5+ years of proven experience
- 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
- Applications for this job will be accepted at least until October 23, 2025.
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
