Senior Solution Architect, Networking Solutions Labs

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Yokneam
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

We at NVIDIA Networking Solutions Labs seek a forward-thinking, innovative, and experienced Solutions Architect with hands-on experience.

By joining the team, you’ll take a part in the design and implementation of complex data center solutions, including solution architecture, HW and SW deployment, performance, and return on investment analysis. You will work with software developers and architects to research and analyze new, groundbreaking technologies.

The candidate is expected to have 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. A candidate for this position must excel at working independently as well as in a group, in a multidisciplinary, dynamic environment.

What you’ll be doing:

  • 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.

What we need to see:

  • 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.)

Ways to stand out from the crowd:

  • Experience with distributed systems and system analysis, with modern big data frameworks, and with AI / ML frameworks and use cases.
  • High level of personal responsibility and the ability to optimally prioritize and complete tasks in a fast-paced and frequently changing environment.
  • Excellent Hebrew/English interpersonal and written communication skills.
  • Fast ramp up, quick learning, high motivation, independent and effective troubleshooting and problem-solving skills.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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