Principal Storage Kernel Software Engineer, Linux - DGX Cloud at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
TechnologyIndustries

Requirements

  • B.Sc., M.Sc. or Ph.D. in Computer Science or related discipline (or equivalent experience)
  • 15+ years of experience as a senior developer, preferably in a storage company
  • Comprehension of large and sophisticated systems
  • Ways to Stand Out From the Crowd
  • Kernel coding experience
  • Independence. Strong communication skills
  • Ability to work with customers and partners

Responsibilities

  • Research and implementation of distributed storage services
  • Design the storage SW stack of NVIDIA block solution. This includes interface definition and implementation in host and a DPU environments
  • Design of storage related features and accelerations in the framework Linux kernel and a DPU
  • Coordinate testing of cluster-manager functionality with the QA team
  • Acquire understanding of the algorithms, the technicalities and the interaction with the other components
  • Analyze challenging bugs and customer cases, identifying issues in the kernel modules and often in other components
  • Drive new solutions based on any issues that arise
  • 100% hands on role - large scale production system. The work involves feature design and implementation, debugging, and maintaining existing production code written in C

Skills

Key technologies and capabilities for this role

CLinux KernelDistributed StorageBlock StorageDPUKernel ModulesSoftware ArchitectureCluster ManagementDebugging

Questions & Answers

Common questions about this position

What is the base salary for this position?

This information is not specified in the job description.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What are the required qualifications and experience for this role?

Candidates need a B.Sc., M.Sc. or Ph.D. in Computer Science or related discipline (or equivalent experience), and 15+ years of experience as a senior developer, preferably in a storage company, with comprehension of large and sophisticated systems.

What is the company culture like at NVIDIA?

NVIDIA fosters a team-oriented environment where employees work, think, and learn together, thriving in a deeply strong culture that demands innovation and the highest standards.

What makes a candidate stand out for this Principal Storage Kernel Software Engineer role?

Kernel coding experience, independence, strong communication skills, and the ability to work with customers and partners will help candidates stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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