Senior Solution Architect, Networking Solutions Labs at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, NetworkingIndustries

Requirements

Bachelor's degree in Exact Science or higher, or equivalent experience
5+ years of field experience as a hands-on Solution Engineer, Solution Architect, or Senior DevOps
Experience with the design and implementation of complex data center solutions
Vast experience with Linux, Kubernetes, Docker containers, and QEMU/KVM virtualization
Understanding of Networking layers and services (L2/L3, TCP/IP, Firewalls, DNS, DHCP, etc.)
Hands-on experience with data center technologies, including operating systems, virtualization and containerization technologies, storage, networking, and infrastructure as code (IaC) tools such as Ansible
Ability to excel at working independently as well as in a group, in a multidisciplinary, dynamic environment

Responsibilities

Implement cutting-edge, end-to-end data center solutions with modern applications
Architect, develop, deploy, automate, analyze, formalize findings, and release summary reports
Develop and release reference deployment guides and how-to tutorials
Support company business units on complex solutions delivery by consulting, providing solutions designs, running POCs, etc
Research technology trends and deliver best practices for integrating NVIDIA products and technologies
Work with software developers and architects to research and analyze new, groundbreaking technologies
Participate in the design and implementation of complex data center solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis

Skills

Key technologies and capabilities for this role

LinuxKubernetesDockerQEMUKVMAnsibleTCP/IPL2L3FirewallsDNSDHCPVirtualizationContainerizationIaC

Questions & Answers

Common questions about this position

What experience is required for the Senior Solution Architect role?

Candidates need a Bachelor's degree in Exact Science or higher (or equivalent), 5+ years as a hands-on Solution Engineer, Solution Architect, or Senior DevOps, experience with complex data center solutions, vast experience with Linux, Kubernetes, Docker, and QEMU/KVM virtualization, and understanding of networking layers like L2/L3, TCP/IP, Firewalls, DNS, and DHCP.

What are the ways to stand out for this position?

Stand out with experience in distributed systems, system analysis, modern big data frameworks, AI/ML frameworks and use cases, high personal responsibility, ability to prioritize in fast-paced environments, excellent Hebrew/English communication skills, fast ramp-up, quick learning, and strong troubleshooting skills.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

What is the work environment like at NVIDIA Networking Solutions Labs?

The role involves working independently as well as in a group, in a multidisciplinary, dynamic environment.

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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