Principal System Networking Architect at NVIDIA

Ra'anana, M, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Networking, Data Centers, High-Performance ComputingIndustries

Requirements

B.Sc., M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering
15+ years of experience in embedded software development for networking products, including 7+ years functioning as a System and/or Networking Architect
Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features in data center, telco and/or edge networks
Highly experienced in system software design and networking fundamentals
Excellent understanding of large-scale network behavior and the effect of distributed computing workloads on the network
Demonstrated ability to maintain technical foresight, conducting deep research and development into new technologies to generate innovative ideas and functional applications
Leadership skills and accountability, including of past projects
Clear verbal and written communication with the ability to build consensus within a large organization
Possess problem-solving and critical thinking skills
Ability to operate in a highly dynamic environment
Ways to stand out
Extensive knowledge in various Switch ASIC hardware and Software Development Kit (SDK)
Demonstrated ability to prototype ideas and demonstrate their value
Applying ML/AI methods to solve networking problems

Responsibilities

Explore new technologies and end-to-end solutions for Ethernet Networking Platforms
Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics
Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations
Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans
Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects
Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups
Promote innovation through the design and implementation of Proof-of-Concept (PoC)

Skills

Key technologies and capabilities for this role

InfinibandNVLinkEthernetAI FabricData-Center NetworkingNetwork TopologiesAI/ML ClustersEthernet SwitchNetwork Operating SystemsOrchestration SystemsChip DesignFirmwareHardware Platforms

Questions & Answers

Common questions about this position

What education and experience are required for this Principal System Networking Architect role?

Candidates need a B.Sc., M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering, plus 15+ years of experience in embedded software development for networking products, including 7+ years as a System and/or Networking Architect.

What key technical skills are needed for this position?

Expert-level knowledge in Ethernet/IP technologies, network topologies, and networking features in data center, telco and/or edge networks is required, along with highly experienced system software design, networking fundamentals, and understanding of large-scale network behavior.

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 leadership qualities make a strong candidate for this architect role?

Demonstrated leadership skills, accountability, technical foresight, and the ability to conduct deep research into new technologies to generate innovative ideas are essential, along with experience leading R&D and validation teams.

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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