Principal System Software Engineer, Networking Linux Kernel - DGX Cloud

Reposted Yesterday
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Tel Aviv, ISR
In-Office
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
This role involves hands-on software development for networking features in distributed storage services, requiring deep knowledge of Linux kernel, networking, and software architecture.
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. 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, networking features for distributed storage services and features of NVIDIA’s block 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 storage ecosystem.

  • Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox 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.

  • Knowledge of networking fundamentals and experience in Linux-based networking environments.

  • Familiarity with RDMA technologies, including Infiniband, RoCE, or iWARP, and experience with RDMA programming models, control and data paths. Comprehension of large and complexed systems.

  • Proven professional experience in designing and developing distributed systems; advantage for experience in block 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.

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. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers.

Skills Required

  • B.Sc., M.Sc. in Computer Science, Electrical Engineering or related discipline
  • 15+ years of experience as a senior developer
  • Strong proficiency in C/C++ programming
  • Knowledge of networking fundamentals and experience in Linux-based networking environments
  • Familiarity with RDMA technologies

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

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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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