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The NVIDIA DGXC Data Services team is building cloud-native services and tools for managing data for accelerated computing on a hybrid and multi-cloud infrastructure. We are building the next generation of data and storage infrastructure to solve the most challenging problems of AI practitioners. These challenges include a) efficiently storing petabytes of data on tiered storage, b) providing security and governance via policies, c) connecting and ingesting data from external sources, and d) accelerating data access to prevent data stalls. Solving these challenges is critical for serving AI workloads training and inference jobs. You will craft software services to deliver functionality for NVIDIA's internal platforms and our external-facing cloud infrastructure.

What you'll be doing:

+ Provide technical leadership for architecture and design for the engineering group within the org and outside

+ Design and build cloud services for managing, serving, and securing data for our accelerated computing initiatives.

+ 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 use storage and compute accelerations like GPU direct storage and DPU.

+ Engage with customers internally and externally.

What we need to see:

+ BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) with 15+ years of proven experience

+ Experience building robust services at scale. Build and maintain high-volume / low-latency data platform services.

+ Solid 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 with backend systems and software engineering

+ Programming experience in a relevant language, e.g., Go, Rust, Python, C/C++, Java.

+ Understanding of common approaches to software engineering, software architecture, and design. Experience collaborating with teams to write software to support cloud services. Ability to document software and services. Ability to 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 Object Storage, Metadata Management, Data lake tools, AI/ ML Infra

+ Computer science background with Distributed Systems as a specialization

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 272,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.