NVIDIA AI Cloud Partners
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, hard-working, and self-motivated, we want to hear from you!
We are looking for a Network Solutions Architect to join the NVIDIA team focused on supporting NVIDIA AI Cloud Partners as they build the next-generation GPU infrastructure for their customers. As a part of the NVIDIA solutions architecture team dedicated to NVIDIA AI Cloud Partners, you will be driving end-to-end technology solution integration with some of NVIDIA's most strategic customers as well as offering recommendations for business and engineering teams based on customer feedback on product strategy. If you have a real passion for technology, and you are interested in a role that you can make a difference in and contribute at all different levels, this may be a phenomenal position for you.
What you'll be doing:
- Define reference architectures - blueprint for end-to-end solutions integrating GPU and networking into a data-center solution
- Supporting account teams identifying new business opportunities for NVIDIA Networking products and technology solutions in cloud, telco, enterprises, artificial intelligence, and Large-Language-Models (LLM) applications and works closely with the Sales teams and Product Marketing to make our customers dreams a reality.
- Technical account management for NVIDIA Networking product key accounts
- Conducting regular customer meetings for product updates and introductions to new technology solutions and delivering product roadmap presentations to customers and technology partners
- Building and delivering custom-tailored product demonstrations and POCs for solutions that address critical business needs for our customers
- Technical project management of complex networking deployments and design-in opportunities
- Analyzing and troubleshooting performance issues with new technology at the customer site and preparing and delivering technical training presentations
- Provide constructive feedback to engineering regarding product requirements, evolution, including submitting Requests for Enhancements supported with business evidence
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.
What we need to see:
- This role is for an individual with the motivation and skills to drive the technical pre-sales process. The ideal candidate has 5+ years of Solution Architect (or similar Sales Engineering roles) experience
- A Bachelor’s degree or equivalent experience in computer science, electrical engineering, computer engineering
- Datacenter engineering, networking, or cloud application knowledge. Deep networking experience, including network topologies considerations, solid knowledge of L2/L3 Ethernet or other networking protocols
- Understanding of system-level issues, including Operating Systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture
- Technical presentation skills and confidence in developing Proofs-of-Concept
- Must have strong sense of achievement and customer focused attitude
- Effective time management and capable of balancing multiple demands with competing deadlines
- Travel required as needed (30% of the working hours)
Ways to stand out from the crowd:
- Low latency / high BW interconnect such as InfiniBand / Ethernet AI
- Ability to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction
- Practical experience with K8s and Linux Virtualization technologies (KVM)
- Experience with GPU accelerated systems administration and SW and distributed/parallel computing
- Practical DevOps and or Agentic AI experience
