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

Key technologies and capabilities for this role

C/C++PythonLinuxDevice DriversKernel InternalsMulti-threaded ProgrammingNetworkingInfiniBandEthernetNVLink

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Software Engineer role?

A B.S./M.S./Ph.D. in computer science or a related field with 5+ years of relevant experience is required.

What key technical skills are needed for this position?

Excellent C/C++ programming and debugging skills with some familiarity with Python, experience with device drivers, solid understanding of computer system architecture and OS internals, Linux development, multi-threaded programming, and networking fundamentals are required.

Is this a remote position, or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this Senior Software Engineer position?

Candidates stand out with understanding of CUDA programming model and NVIDIA GPUs, knowledge of memory coherence and consistency models, and familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques.

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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