Senior High-Performance System Architect at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

B.Sc, M.Sc, or Ph.D degree in Computer Science, Computer Engineer, or Electrical Engineer
At least 5 years of industry or research experience in computer networks
Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads on the network
Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms
Possess strong managerial, problem solving and critical thinking skills
Ability to work and operate in a highly dynamic environment
Partner with multiple groups in the organization

Responsibilities

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments)
Research various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW
Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project

Skills

Key technologies and capabilities for this role

Computer NetworksDistributed ComputingNetwork SimulationSystem ArchitectureFirmwareHardware DesignSoftware DevelopmentHigh-Performance ComputingML/AI ComputingAlgorithms

Questions & Answers

Common questions about this position

What education and experience are required for the Senior High-Performance System Architect role?

Candidates need a B.Sc, M.Sc, or Ph.D in Computer Science, Computer Engineering, or Electrical Engineering, plus at least 5 years of industry or research experience in computer networks.

What key skills are essential for this position?

Required skills include excellent understanding of large-scale networks behavior and distributed computing workloads, experience in developing simulation models and optimization algorithms, strong managerial, problem-solving, and critical thinking skills, plus the ability to work in a dynamic environment.

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

This information is not specified in the job description.

What is the compensation or salary for this role?

This information is not specified in the job description.

What makes a candidate stand out for this NVIDIA role?

Stand out with good knowledge of network protocols like InfiniBand, IP, TCP, RoCE and topologies, proficiency in Python and C++, and familiarity with HPC environments, routing algorithms, and simulation tools like Omnet++ and NS3.

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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