Senior System Software Engineer, Networking Linux Kernel - DGX Cloud at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

B.S. or M.S. degree in Computer Science or Electrical Engineering (or equivalent experience)
12+ years experience in development
Proven professional experience in designing and developing distributed systems; advantage for experience in block storage and networking systems, advantage for cloud environments
Strong proficiency in C/C++ programming
Experienced with Linux Kernel internals including block subsystem, IO stack, memory management, and scheduling
Familiarity with storage protocols and standards, especially NVMe
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
Knowledge of cloud computing concepts, including virtualization, scalability, and data management

Responsibilities

100% kernel coding role
Own end-to-end design and development, challenging existing paradigms and exploring innovative approaches for RDMA and high-speed TCP-based networks
Collaborate closely with cross-functional teams to define and implement robust networking algorithms, data management strategies, and distributed systems principles
Contribute to architecture, integration, and alignment with both on-prem and cloud-native platforms
Optimize system performance and reliability through in-depth analysis and low-level tuning
Stay up to date with the latest industry trends and contribute to open-source projects

Skills

Linux Kernel

Networking

RDMA

TCP

Distributed Systems

Block Storage

Software Architecture

Kernel Coding

Performance Optimization

Open Source

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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