Senior Solutions Architect, Networking

Reposted 2 Days Ago
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3 Locations
In-Office
184K-288K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves driving AI hardware and software integration, identifying business opportunities, conducting customer meetings, and preparing technical presentations as a Solutions Architect in networking.
Summary Generated by Built In

NVIDIA is looking for an experienced network and systems infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing applications including Deep Learning and Data analytics. As part of the NVIDIA Solution Architecture organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product strategy.

What you will be doing:

  • Establish yourself as a technical expert in embedded networking products, mainly BlueField and ConnectX product lines, directly supporting sales account and program managers, working closely with the team to secure design wins

  • 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

  • Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions

  • Building custom product demonstrations and POCs for solutions that address critical business needs of our customers

  • Analyzing and solving compute/network performance issues

  • Preparing and delivering technical training presentations and workshops

What we need to see:

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

  • This role is for an individual with the motivation and skills to drive the technical pre-sales process.

  • 8+ years of Solution Engineering (or similar Sales Engineering roles) experience

  • Advance practical knowledge of Networking - Data Center topologies, routing and switching protocols, and Ethernet/Infiniband

  • Systems engineering, coding, and debugging skills including experience C/C++, Linux kernel and drivers

  • System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers

  • Networking experience, including knowledge of Ethernet, Infiniband or other networking protocols

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments

  • Effective time management and capable of balancing multiple tasks

  • Ability to communicate your ideas/code clearly through documents, presentation etc

Ways to stand out from the crowd:

  • External customer facing skill-set and background

  • Hands-on experience with NVIDIA systems/SDKs (e.g. DOCA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand).

  • Familiarity of concepts for virtualization environments

  • Able to think creatively to debug and solve problems

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 30, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

Bluefield
C/C++
Connectx
DevOps
Docker
Ethernet
Infiniband
Kubernetes
Linux
Mlops
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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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