Networking Architect at NVIDIA

Santa Clara, California, United States

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$120,000 – $189,750Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

B.Sc or M.Sc degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
4+ years of previous industry or research experience in computer networks
Experience in developing networking applications, ASICs, and/or real-time SW running on ASICs
Understanding of networking and routing protocols
Strong problem-solving and critical thinking skills
Ability to work in a highly sophisticated 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 spanning various layers (ASIC design, algorithms, topologies, systems)
Partnering with networking communities to initiate and develop solutions

Skills

Key technologies and capabilities for this role

Computer NetworksASIC DesignNetworking ApplicationsRouting ProtocolsRDMARoCENetwork TopologiesLoad BalancingCongestion Control

Questions & Answers

Common questions about this position

What is the salary range for the Networking Architect position?

The base salary range is $120,000 - $189,750 USD.

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

This information is not specified in the job description.

What skills are required for the Networking Architect role?

Required skills include 4+ years of experience in computer networks, experience developing networking applications, ASICs, or real-time SW on ASICs, understanding of networking and routing protocols, strong problem-solving and critical thinking, and ability to work with multiple groups and partners.

What is the company culture like at NVIDIA for this role?

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer that does not discriminate based on protected characteristics.

What makes a candidate stand out for the Networking Architect position?

Candidates stand out with experience in RDMA particularly RoCE, knowledge of network topologies, understanding of load balancing and congestion control algorithms, practice of industry standards or experience with standards organizations/open-source communities, and strong Python and/or C++ skills.

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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