Senior Software Engineer, DGXC Data Services

NVIDIASanta Clara, CA
65d$148,000 - $287,500

About The Position

The 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. We are building the next-generation data and storage infrastructure to solve the most challenging problems, such as storage, access, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. You will craft software services to deliver functionality to NVIDIA's internal platforms and our external-facing cloud infrastructure.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • Equity and benefits.
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