Senior Networking Architect at NVIDIA

Santa Clara, California, United States

Apply Now

$148,000 – $287,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

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

Responsibilities

Participate in research and development of networking solutions for next-generation accelerated data centers
Span across various layers including ASIC design, algorithms, topologies, and systems
Partner with internal teams, strategic partners, standard bodies, and networking communities to develop networking solutions
Contribute to the initiation and development of groundbreaking networking solutions for AI

Skills

Key technologies and capabilities for this role

ASICRDMARoCEPythonC++Routing ProtocolsNetworking 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 $148,000 - $287,500 USD.

Is this a remote, hybrid, or on-site role?

This is a hybrid position.

What are the key required skills for this role?

Key requirements include 5+ years of experience in computer networks, experience developing ASICs and/or real-time software on ASICs, strong understanding of networking and routing protocols, strong problem-solving skills, and ability to work in dynamic environments with multiple groups.

What benefits does NVIDIA offer?

Benefits include competitive salaries, equity, and a generous benefits package.

What makes a candidate stand out for this position?

Standout candidates have deep knowledge in RDMA with focus on RoCE, understanding of network topologies, experience with load balancing and congestion control algorithms, proven practice with industry standards or open source communities, and strong skills with 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.

Land your dream remote job 3x faster with AI

Try Jobo Free