Job description

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 October 1, 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.

Requirements

Must-haves

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.
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.
Linux Kernel coding experience
Linux Kernel internals knowledge including memory management, scheduling, etc.
Linux File system experience
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigo

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