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NVIDIA

Senior Software Engineer, Object Storage - DGX Cloud

AI in this role

Design, implement, and extend internal object storage systems to support large-scale AI and machine learning research infrastructure.

pythongoc
object-storagedistributed-systemsstorage-infrastructurecloud-servicesopen-source

NVIDIA is looking for a Senior Software Engineer in Object Storage to design, implement, and extend the capabilities of our internal object storage system. This system is a core service that is critical to NVIDIA AI/ML research teams creating best of breed generative AI systems and pioneering world models. We are looking for a software developer who has a deep understanding of object storage, outstanding architecture and design skills and a track record in writing and delivering large-scale storage services.

What You Will Be Doing:

  • Contributing to the design, development, and testing of our object storage system

  • Developing storage capabilities to support NVIDIA research teams and other users

  • Extending the availability and reliability of our deployments at scale – 10k+ nodes, exabytes of data

  • Analyzing and improving system performance at all levels

  • Automating storage infrastructure end-to-end including provisioning, management and monitoring

  • Making contributions upstream to open source storage codebases

What We Need To See:

  • Consistent track record of developing object storage services and an understanding of strategies for addressing data availability, durability, and fault tolerance

  • History of ownership of product delivery from inception to support

  • Great communication and presentation skills

  • Prior experience developing distributed systems with Python, Go, C/C++, or similar

  • Bachelor’s of Science in Computer Science, or related field or equivalent experience

  • 8+ yrs of relevant experience

Ways to stand out from the crowd:

  • You have developed and delivered major components of a distributed storage system that has been deployed at exabyte scale

  • Strong experience with concurrency models and primitives (threads, event loops, distributed locking, etc.)

  • Skilled with building and delivering cloud services, with specific focus on storage or data systems. You have made sustained contributions to open source projects

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 September 19, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Senior Software Engineer, Object Storage - DGX Cloud at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Object StorageDistributed SystemsStorage InfrastructureCloud ServicesOpen SourcePythonGoC

Also common in software engineer jobs at this level

Questions you could be asked

  1. Tell me about a project where object storage was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where storage infrastructure was part of your work. What did you do?
  4. Tell me about a project where cloud services was part of your work. What did you do?
  5. Tell me about a project where open source was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Object Storage, Distributed Systems, Storage Infrastructure, Cloud Services, and Open Source. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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