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NVIDIA

Senior Storage Engineer - DGX Cloud

Reposted 7 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
184K-357K
Senior level
In-Office or Remote
2 Locations
184K-357K
Senior level
Design and implement software solutions for data management and ingestion across enterprise AI/ML systems. Build and maintain distributed systems, solve complex engineering problems, and collaborate with teams for efficient data management.
The summary above was generated by AI

NVIDIA is looking for a talented, highly productive Senior Software Engineer to design and implement facilities for data ingress, movement, and egress to and from our enterprise AI/ML systems and services. You will contribute to a foundational service that is critical to the usability of these important products. We are looking for an engineer who has a deep understanding of distributed systems development, object storage, network file transfer protocols, and file systems.

What You Will be doing:

  • Design, implementation, deployment, and maintenance of innovative software solutions for data ingestion, movement, and management

  • Solve technical problems spanning the areas of orchestration, distributed systems, service modeling, API modeling, monitoring, deployment, and automation

  • Build highly reliable distributed systems that our customers can depend on for their own business

  • Work with multi-function teams to make our storage and data management easier, faster, and more productive for applications

What We Need To See:

  • Strong track record of delivering distributed service in a variety of distributed computing environments, including CSPs such as AWS, Azure, and Google

  • Experience designing, implementing, and deploying distributed systems for handling large-scale data integration

  • History of ownership of product delivery from inception to support

  • Prior experience developing distributed systems with Go (preferred), Java, or similar 

  • Bachelor’s of Science in Computer Science or a related field (or equivalent experience)

  • 8+ years of industry experience

Ways to stand out from the crowd:
  • Experience implementing file transfer or synchronization protocols or object storage ecosystem tooling, particularly Amazon S3

  • Previous work designing complex systems using containers and orchestrated by Kubernetes

  • Experience building high-scale distributed systems such as distributed databases, storage systems, or cloud services

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. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 2025.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.

#deeplearning

Top Skills

AWS
Azure
Distributed Systems
Go
GCP
Java
Kubernetes
Object Storage
Restful Apis
S3

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