Senior Software Engineer, Fabric Networking - GPU at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High-Performance Computing, VisualizationIndustries

Requirements

B.S./M.S./Ph.D. in computer science or a related field with 5+ years of relevant experience
Excellent C/C++ programming and debugging skills, with some familiarity with Python
Experience writing software applications that interface with device drivers and expose associated hardware functionality
Solid understanding of computer system architecture, operating system and kernel internals
Experience with Linux development; familiarity with Windows is a plus
Background in multi-core / multi-process / multi-threaded programming environment
Strong understanding of networking fundamentals and high-performance interconnection (e.g., InfiniBand, Ethernet)
Familiarity with OS virtualization technologies like KVM/QEMU/Hyper-V, etc
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Design, develop, and maintain system-level software to enable high-performance GPU-to-GPU communication
Collaborate closely with cross-functional teams including hardware, firmware, system software to build and deliver next-generation GPU networking solutions
Contribute to scalable and reliable GPU fabric architecture for large compute clusters
Align software development with customer needs and real-world deployment environments

Skills

C/C++

Python

Linux

Device Drivers

Kernel Internals

Multi-threaded Programming

Networking

InfiniBand

Ethernet

NVLink

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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