Principal Block and File Storage Software Engineer, Linux - DGX Cloud

Posted Yesterday
Be an Early Applicant
Santa Clara, CA, USA
In-Office
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, implement, and test distributed block and file storage services in C across Linux kernel, userspace, host, and DPU environments. Analyze production issues, resolve complex kernel and systems bugs, develop scalable storage solutions, and collaborate with networking teams, architects, and customers. The role involves defining software architecture for highly performant, scalable storage platforms and requires deep expertise in Linux, storage protocols, distributed systems, and operating-system internals.
Summary Generated by Built In

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next-generation block storage capabilities and architects a proprietary distributed file system solution from its inception. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

What you’ll be doing:

  • 100% hands-on coding role in C language, Kernel and Userspace

  • Access advanced AI tools and a token budget for code development provided by NVIDIA, the world's AI factory leader.

  • Research, design, implement and test, new and existing, distributed storage services and features of NVIDIA’s block and file storage solution, in both Host and  DPU environments.

  • Acquire understanding of the algorithms, the technicalities and the interaction with other components across NVIDIA’s block and file storage ecosystem.

  • Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox the kernel modules and often in other components. Drive new solutions based on any issues that arise

What we need to see:

  • B.Sc., M.Sc.. in Computer Science, Electrical Engineering or related discipline (or equivalent experience). 

  • 15+ years of experience as a senior developer, preferably in the domains of storage, networking, and/or operating-systems

  • Strong proficiency in C/C++ programming.

  • Experience with Linux block subsystem, File system and IO stack, Experience with storage protocols and standards, especially NVMe Comprehension of large and complexed systems|

  • Proven professional experience in designing and developing distributed systems; advantage for experience in block and/or file storage and/or networking systems.

  • Ability to work autonomously, with a proactive mindset and perseverance to solve day to day challenges. Ability to quickly adapt to new technology and go deep into new areas

  • Excellent communication skills and a collaborative mindset.

  • Innovative approach, identifying opportunities to improve, accelerate, and reuse existing solutions.

  • Knowledge of cloud computing concepts, including virtualization, scalability, and data management.

Ways to Stand Out From the Crowd:

  • Linux Kernel coding experience

  • Linux Kernel internals knowledge including memory management, scheduling, etc.

  • Linux File system experience

NVIDIA has continuously reinvented itself over two decades. 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. This is our life’s work — to amplify human imagination and 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 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 30, 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

  • Bachelor’s or master’s degree in Computer Science, Electrical Engineering, a related discipline, or equivalent experience
  • 15+ years of experience as a senior developer, preferably in storage, networking, or operating systems
  • Strong proficiency in C and C++ programming
  • Experience with the Linux block subsystem, file systems, and I/O stack
  • Experience with storage protocols and standards, especially NVMe
  • Ability to comprehend large and complex systems
  • Professional experience designing and developing distributed systems
  • Ability to work autonomously with a proactive mindset and perseverance
  • Ability to quickly adapt to new technologies and investigate unfamiliar areas deeply
  • Excellent communication and collaboration skills
  • Innovative approach to improving, accelerating, and reusing solutions
  • Knowledge of cloud computing concepts, including virtualization, scalability, and data management
  • Linux Kernel coding experience
  • Knowledge of Linux Kernel internals, including memory management and scheduling
  • Linux file system experience

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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

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.”

Similar Jobs

Zscaler Logo Zscaler

Principal Product Manager

Cloud • Information Technology • Security • Software • Cybersecurity
Easy Apply
Hybrid
San Jose, CA, USA
8697 Employees
172K-245K Annually

Micron Technology Logo Micron Technology

PDT Lead for Architecture Projects

Artificial Intelligence • Hardware • Information Technology • Machine Learning
In-Office
2 Locations
45000 Employees
193K-391K Annually

The Aerospace Corporation Logo The Aerospace Corporation

Electrical Engineering - Summer 2027 Intern (U.S. Person Required)

Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Remote or Hybrid
United States
4600 Employees
25-45 Hourly

Samsara Logo Samsara

Customer Success Manager

Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Easy Apply
Remote or Hybrid
United States
4000 Employees
88K-118K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
LTX Thumbnail
Robotics • Conversational AI • Generative AI
Jerusalem, Israel
200 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account