Senior Solutions Architect, Networking at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, Data CentersIndustries

Requirements

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience
8+ years of Solution Engineering (or similar Sales Engineering roles) experience
Proven background on data center/cloud provider network architecture
Extensive knowledge and hands-on experience with Ethernet Switches/Routers, congestion control methods and network protocols such as OSPF, BGP, MPLS, IPSEC, etc
Extensive knowledge and hands-on experience with network adapters (NIC’s) and DPU’s, Ethernet TCP/IP and RDMA network configuration and performance tuning in data centers
System level understanding of server architecture, BMC, PCIe devices, Network Adapters, Linux OS and kernel drivers etc
Superb communication and liaison skills to work with customers, partners, and internal functions

Responsibilities

Working with NVIDIA Consumer Internet and IT Services customers on data center networking infrastructure projects as a solution architect
Guide customer journey to server/network/cluster deployments and lead discussions about data center network topologies, compute/storage etc
Lead presale and architecture activities with hyperscale and industry customers and implement innovative networking solutions including Spectrum switch, ConnectX network adapter and Bluefield DPU
Conduct regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions
Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teams
Lead and provide support for presales activities, POC, hands-on, and marketing activities
Preparing and delivering technical training presentations and workshops

Skills

Key technologies and capabilities for this role

NetworkingData CenterSpectrum SwitchConnectXBlueField DPUSolution ArchitectureNetwork TopologiesPresalesPOCGPUAI

Questions & Answers

Common questions about this position

What experience level is required for this Senior Solutions Architect role?

The role requires 8+ years of Solution Engineering or similar Sales Engineering roles experience.

What are the key technical skills needed for this position?

Candidates need proven background on data center/cloud provider network architecture, extensive knowledge of Ethernet Switches/Routers, congestion control, network protocols like OSPF, BGP, MPLS, IPSEC, hands-on experience with network adapters, DPU’s, Ethernet TCP/IP, RDMA, and system-level understanding of server architecture, BMC, PCIe, Linux OS, and kernel drivers.

What education is required for this role?

A BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience is required.

Is this a remote position, or is there a location requirement?

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 soft skills are important for this position?

Superb communication and liaison skills to work with customers, partners, and internal functions are required.

How can I stand out as a candidate for this role?

Hands-on experience with NVIDIA systems/SDK will help you stand out from the crowd.

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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