Role at a glance
- Salary
- $224K – $356.5K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 12+ years of Solutions Architect or similar technical pre-sales roles.
- Education
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
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Role Summary
The Solutions Architect will join NVIDIA’s Solutions Architecture team to support accelerated networking solutions for AI, Machine Learning, and HPC. The role focuses on integrating end-to-end technology solutions with strategic technology customers, including cloud providers and hyperscalers, and supporting AI fabric proof-of-concepts.
What You'll Do
- Develop and demonstrate networking solutions based on NVIDIA networking hardware with cloud providers and hyperscalers
- Partner with Sales Account Managers to identify and secure business opportunities for NVIDIA networking products and solutions
- Work with customers on proof-of-concepts for AI fabric solutions
- Conduct technical customer meetings covering new technologies, product features, workshops, and performance debugging
- Provide recommendations to business and engineering teams on product strategy
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another engineering field or equivalent experience; 12+ years in Solutions Architect or similar technical pre-sales roles; practical knowledge of InfiniBand and Ethernet fabric topologies, RDMA protocols, host networking, and switches; experience with end-to-end network performance debugging across hosts, switches, and optics; ability to communicate ideas through documents and presentations.
Required
- 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
- Practical knowledge of networking for AI data centers, including InfiniBand and Ethernet fabric topologies, RDMA protocols, host...
- Experience with end-to-end network performance debugging across hosts, switches, and optics
- Effective time management and ability to balance multiple tasks
- Ability to communicate ideas clearly through documents and presentations
Preferred
- External customer facing skills and background
- Hands-on experience with NVIDIA Ethernet and InfiniBand networking hardware, NICs/HCAs and switches, RDMA and TCP protocol stacks
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.