Senior Storage Infrastructure Software Engineer - EDA Infrastructure

Reposted 4 Days Ago
Be an Early Applicant
3 Locations
Remote or Hybrid
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop scalable distributed storage management systems for NVIDIA’s large-scale engineering infrastructure. Collaborate with hardware and software teams to define features, optimize workflows, improve software design and testing, and deliver reliable storage solutions. The role requires Linux, storage systems, networked distributed systems, Perl, and Python expertise, with responsibility for architectural decisions balancing cost, performance, reliability, and scalability.
Summary Generated by Built In

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 other objective job-related factors. The expected base salary ranges for this position are:
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 November 7, 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.

Skills Required

  • 5+ years of relevant software development experience
  • Bachelor’s degree in Computer Science or a related field, or equivalent experience
  • Development experience with Perl and Python
  • Background in Linux software development
  • Experience with storage systems and networked distributed systems
  • Understanding of storage concepts including volumes, snapshots, clones, and deduplication
  • Ability to make architectural decisions balancing cost, performance, reliability, and scalability
  • Ability to collaborate with peers and internal customers on testing and adoption plans
  • Master’s degree in Computer Science or a related field
  • Experience with NetApp systems and ASIC workflows
  • Exposure to Cursor AI
  • Experience with infrastructure software, production application development, release and support methodologies, and DevOps practices
  • Experience managing datacenters and large-scale distributed computing and storage systems
  • Track record of process improvement and managing complex projects end-to-end

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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