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

NVIDIA Ltd.
United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$272,000
Working hours
Regular working hours

Tech stack

Cloud Computing Computer Programming Linux Distributed File Systems File Systems Distributed Systems Memory Management Linux Kernel Network Architecture Software Architecture Software Engineering Subsystems
+6 more
Virtualization Technology Computer Networking Systems Storage Technologies Information Technology Data Management Block Storage

Job description

We are looking for a 100% hands-onStorage 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.

Requirements

Software Engineering, Storage Software, Linux Operating System, Cloud Computing, File Systems, Software Architecture, Software Engineering, Distributed Computing, Storage Architecture, Network Architecture/Engineering, * 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 NVMeComprehension 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

Benefits & conditions

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.

About the company

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

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