[Remote] Senior Solutions Architect - Networking at NVIDIA

Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

BiotechnologyIndustries

Requirements

BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields
8+ years of professional experience in networking fundamentals, TCP/IP stack, InfiniBand fundamentals and data center architecture
Proficiency in configuring, testing, validating, and resolving issues in Ethernet and InfiniBand networks, especially in medium to large-scale HPC/AI environments
Advanced knowledge of HPC/AI networking protocols
Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS
Strong focus on customer needs and satisfaction
Self-motivated with leadership skills to work collaboratively with customers and internal teams
Strong written, verbal, and listening skills
Familiarity with cloud networks (AWS, GCP, Azure) is a plus
Knowledge in link level performance and diagnostics
Experience with High-performance computing architectures
Experience with GPU (Graphics Processing Unit) focused hardware/software
Linux or Networking Certifications
Ability to work in a dynamic customer-focused team
Excellent interpersonal skills

Responsibilities

Build AI/HPC infrastructure for a large CSP customer and their endusers
Support operational and reliability aspects of large-scale AI clusters
Focus on performance at scale, real-time monitoring, logging, and alerting
Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement
Maintain services once they are live by measuring and monitoring availability, latency, and overall system health
Provide feedback to internal teams such as opening bugs, documenting workarounds, drive customer feature requirements and suggesting improvements
Collaborate with customers and internal teams to analyze, define, and implement large-scale Networking projects
Analyze and optimize network configurations for improved performance and reliability
Troubleshoot and resolve network issues in medium to large-scale HPC/AI environments
Develop and implement automation scripts to improve network efficiency and reduce manual labor
Stay up-to-date with the latest networking technologies and protocols
Participate in project planning, design, and implementation
Collaborate with cross-functional teams to ensure successful project delivery
Develop and maintain documentation for network configurations, troubleshooting, and maintenance
Ensure compliance with NVIDIA's security and data protection policies

Skills

Key technologies and capabilities for this role

Networking fundamentalsTCP/IP stackInfiniBand fundamentalsData center architectureEthernetHPC networking protocolsSystem DesignAutomationPerformance at scaleReal-time monitoringLoggingAlerting

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Solutions Architect role?

The base salary range is 184,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What key skills and experience are required for this role?

Candidates need 8+ years of experience in networking fundamentals, TCP/IP stack, InfiniBand, and data center architecture, proficiency in configuring Ethernet and InfiniBand networks in HPC/AI environments, advanced knowledge of HPC/AI networking protocols, and hands-on experience with platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.

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

The role involves working on a dynamic customer-focused team with excellent interpersonal skills, interacting with customers, partners, and internal teams, emphasizing strong customer focus, collaboration, leadership, and communication skills. NVIDIA is committed to fostering a diverse work environment as an equal opportunity employer.

What makes a candidate stand out for this position?

Ways to stand out include familiarity with cloud networks like AWS, GCP, Azure, Linux or Networking Certifications, knowledge in link level performance and diagnostics, experience with High-performance computing architectures, and GPU-focused hardware/software.

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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