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NVIDIA

Designs the chips and software that power AI

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

Systems Software EngineeringUpdated on Nov 5
Full-timeIn-person

About the Job

Requirements

  • A B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related discipline, or equivalent experience.
  • At least 15 years of experience as a senior developer, preferably in storage, networking, and/or operating systems.
  • Strong proficiency in C and C++ programming.
  • Experience with the Linux block subsystem, file systems, the I/O stack, and storage protocols and standards, especially NVMe; ability to comprehend large and complex systems.
  • Professional experience designing and developing distributed systems; experience in block or file storage or networking systems is advantageous.
  • Ability to work autonomously with a proactive mindset and perseverance to solve day-to-day challenges, and to adapt quickly to new technology and develop expertise in new areas.
  • Knowledge of cloud computing concepts, including virtualization, scalability, and data management.

Responsibilities

  • Write code in C across kernel and userspace environments.
  • Research, design, implement, and test new and existing distributed storage services and features for NVIDIA’s block and file storage solution in host and DPU environments.
  • Develop understanding of algorithms, technical details, and interactions with components across NVIDIA’s block and file storage ecosystem.
  • Analyze and resolve challenging bugs and customer cases in large-scale production systems, identify issues in internal or upstream kernel modules and other components, and develop solutions to address them.

Desired Qualifications

  • Linux kernel coding experience.
  • Knowledge of Linux kernel internals, including memory management and scheduling.
  • Linux file system experience.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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