Senior Software Architect, AI Cloud Infrastructure at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Infrastructure, TechnologyIndustries

Requirements

Bachelor's or Master’s degree in Computer Science or equivalent experience
8+ years of proven experience in the field
Background in networking stack and protocols such as RDMA, TCP/IP, and InfiniBand
Strong articulation skills for crafting and improving technical documents and the ability to engage with a globally distributed engineering team
Eagerness to learn new technologies and constantly improve your expertise

Responsibilities

Translate requirements into vision, architecture, and roadmap
Design infrastructure to support programmable improvements to RDMA protocols for E/W AI networking stack
Collaborate with multi-functional teams to innovate and deliver networking solutions
Explore innovative solutions in HW and SW for our next-generation platforms as part of programmable RDMA architecture
Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations

Skills

Key technologies and capabilities for this role

RDMATCP/IPInfiniBandNetworking StackProtocolsSoftware ArchitectureAI NetworkingGPU CommunicationQuantitative Modeling

Questions & Answers

Common questions about this position

What is the salary for this Senior Software Architect position?

This information is not specified in the job description.

Is this role remote or does it require working in an office?

The role is based in Israel, but specific details on remote work or office requirements are not provided.

What skills and experience are required for this position?

Candidates need a Bachelor’s or Master’s in Computer Science or equivalent, 8+ years of experience in the field, background in networking stack and protocols like RDMA, TCP/IP, and InfiniBand, strong articulation skills for technical documents, and eagerness to learn new technologies.

What is the company culture like at NVIDIA?

NVIDIA features fast-growing elite engineering teams, highly competitive salaries, comprehensive benefits, and a focus on innovation with brilliant talent working on groundbreaking AI and computing technologies.

What makes a strong candidate for this role?

A strong candidate is a creative and autonomous individual with a sincere passion for technology, 8+ years of experience in networking protocols like RDMA, and the ability to collaborate with global teams while driving innovations.

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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