Senior Networking Architect at NVIDIA

Santa Clara, California, United States

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$224,000 – $425,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

B.Sc, M.Sc, or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
12+ years of previous industry or research experience in computer networks
Experience in developing ASICs and/or real-time SW running on the ASICs
Proven understanding of networking and routing protocols, and their implementations
Strong problem-solving and critical thinking skills; ability to work in a dynamic environment; ability to work concurrently with multiple groups and strategic partners

Responsibilities

Research and development of networking solutions for AI-accelerated data centers
Collaboration with internal teams, strategic partners, and standard bodies
Development of groundbreaking networking solutions across various layers (ASIC design, algorithms, topologies, systems)
Understanding and experience with load balancing and congestion control algorithms
Solid practice of industry standards and/or experience with standards organizations and/or open source communities
Skills with Python and/or C++

Skills

Key technologies and capabilities for this role

PythonC++ASIC DesignRDMARoCENetworking ProtocolsRouting ProtocolsLoad BalancingCongestion ControlNetwork Topologies

Questions & Answers

Common questions about this position

What is the salary range for the Senior Networking Architect position?

The base salary range is $224,000 - $425,500 USD.

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

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 12+ years of experience in computer networks, experience developing ASICs and/or real-time SW on ASICs, proven understanding of networking and routing protocols, and skills with Python and/or C++. Strong problem-solving, critical thinking, and ability to work in dynamic environments with multiple groups are also required.

What is the company culture like at NVIDIA?

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer, offering a forward-thinking work environment.

What makes a candidate stand out for this position?

Stand out with deep knowledge in RDMA (especially RoCE), understanding of network topologies, experience with industry standards organizations or open source communities, and strong skills in Python and/or C++.

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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