Senior Solutions Architect, Networking

Posted 6 Days Ago
Be an Early Applicant
2 Locations
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Solutions Architect will lead the integration of advanced networking solutions for AI and HPC, collaborating with cloud providers and hyperscalers, conducting POCs, and driving technical pre-sales activities. They will also provide strategic recommendations and conduct technical meetings with customers.
Summary Generated by Built In

NVIDIA is looking for an experienced network infrastructure Solutions Architect. Do you want to be part of a team that brings Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a networking savvy Solutions Architect to join the NVIDIA team focused on supporting accelerated networking for AI, Machine Learning, and HPC. As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solution integration with some of NVIDIA’s most strategic technology customers.

What you’ll be doing:

  • Working with Cloud Providers and Hyperscalers to develop and demonstrate networking solutions based on NVIDIA groundbreaking networking hardware

  • Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions

  • Work with customers on POCs for AI fabric solutions to address critical business needs

  • Conduct regular technical customer meetings for intro to new technologies and products, feature discussions, workshops and performance debugging sessions

  • Provide recommendations to business and engineering teams on product strategy.

What we need to see:

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

  • 12+ years of Solutions Architect or similar technical pre-sales roles.

  • Strong sense of achievement, customer oriented demeanor, and skills to drive technical pre-sales activities

  • Practical knowledge of sophisticated networking for AI data centers, including InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking and switches.

  • Experience with end-to-end network performance debugging - hosts, switches, and optics.

  • Effective time management and capable of balancing multiple tasks

  • Ability to communicate ideas clearly through documents, presentations, etc.

Ways to stand out from the crowd:

  • External customer facing skills and background

  • Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs and switches, as well as RDMA and TCP protocol tacks

  • Good understanding of system hardware architecture impact on network performance, including kernel drivers, PCIe devices, NICs, DPUs and GPUs

  • Large-scale GPU infrastructure deployments with TCP or RDMA

  • Experience designing and debugging Ethernet/InfiniBand networks

NVIDIA is widely considered to be one of the technology world’s best places to work. 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!

The base salary range is 224,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

AI
Machine Learning
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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