Senior Storage Infrastructure Software Engineer

AI in this role

Develop and deploy scalable distributed storage management systems for NVIDIA's hardware design engineering teams.

cursorpythonperllinux

storage-systemsdistributed-systemssoftware-engineering

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence 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’s Hardware Infrastructure organization develops, deploys, and runs engineering infrastructure on large-scale, distributed cloud computing systems with 1000s of heterogeneous servers and petabytes of high-performance shared storage. We are looking for a highly motivated senior software development engineer to develop and deploy software storage management systems for NVIDIA's worldwide design engineering teams. Collaborate with internal customers and partners, working with technical teams to build and implement efficient software storage systems that improve engineering efficiency and benefit NVIDIA's business.

What you'll be doing:

Collaborate with HW and SW engineering teams to define new features for distributed software storage systems.
Craft and develop scalable, distributed, storage management system solutions written in Perl and Python
Work closely with team members and internal customers to optimize workflow efficiency and scalability.
Drive improvements to SW design and test processes to improve velocity and deliver very high production quality.
Directly contribute to the overall quality of and improve time to market for our next generation HW products and technologies.

What we need to see:

Development background in Linux software development, storage systems and networked distributed systems.
A solid understanding of storage concepts such as volumes, snapshots, clones, and deduplication.
Ability to drive architectural design decisions from data and estimates to balance cost, performance, reliability, and scalability to meet defined goals.
Ability to collaborate with peers and customers to align on testing and adoption plans.
Flexibility/adaptability for working in a fast-paced environment with exciting problems to solve.
Development experience with Perl and Python
MS (preferred) or BS in Computer Science or related field (or equivalent experience) with 5+ years of relevant experience.

Ways to stand out from the crowd:

Background with NetApp systems and ASIC workflow
Exposure to Cursor AI
Prior experience in infrastructure software, production application software development, release and support methodologies using DevOps tools and approach
Experience in the management of datacenters and large-scale distributed computing and storage systems
Consistent track record of driving process improvements, measuring efficiency and passionate about collaborating and managing complex projects end-to-end

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 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 Storage Infrastructure Software Engineer at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Storage SystemsDistributed SystemsSoftware EngineeringCursorPythonPerlLinux

Questions you could be asked

Tell me about a project where storage systems was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?
What's a project where you used Cursor hands-on?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Storage Systems, Distributed Systems, Software Engineering, Cursor, and Python. 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.

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