Network Solutions Architect - NVIDIA AI Cloud Partners

NVIDIA seeks a Senior Network Solutions Architect to design GPU and networking infrastructure for AI Cloud Partners, focusing on end-to-end integration and customer success in Switzerland.

This position involves partnering with NVIDIA AI Cloud Partners to construct next-generation GPU infrastructure for their clients. The architect will lead the integration of technology solutions with strategic customers, translating product feedback into actionable recommendations for business and engineering teams.

Responsibilities

• Create reference architectures that combine GPU and networking components into comprehensive data-center solutions.
• Assist account teams in spotting new business opportunities for NVIDIA Networking products and technologies.
• Serve as the technical account manager for key NVIDIA Networking accounts.
• Hold regular meetings with customers to share product updates and introduce new technological solutions.
• Develop and present custom product demonstrations and proofs-of-concept (POCs) that address specific business challenges.
• Oversee the technical project management of complex networking deployments and design-in initiatives.
• Diagnose and troubleshoot performance issues related to new technologies at customer sites.
• Share constructive feedback with engineering teams regarding product requirements and future evolution.

Requirements

• At least five years of experience in Solution Architect or Sales Engineering roles.
• A Bachelor’s degree in computer science, electrical engineering, or computer engineering, or equivalent practical experience.
• Extensive networking expertise, including knowledge of network topologies and L2/L3 Ethernet or other protocols.
• Strong understanding of system-level components such as operating systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture.
• Ability to deliver technical presentations and develop proofs-of-concept with confidence.
• A customer-focused mindset with a strong drive for achievement.
• Effective time management skills to handle multiple demands and competing deadlines.
• Willingness to travel up to 30% of working hours as needed.

Nice to have

• Experience with low-latency, high-bandwidth interconnects like InfiniBand or Ethernet AI.
• Proven ability to resolve critical customer issues, ensuring high satisfaction levels.
• Practical experience with Kubernetes (K8s) and Linux virtualization technologies such as KVM.
• Background in GPU-accelerated systems administration, software development, and distributed or parallel computing.
• Hands-on experience with DevOps practices or Agentic AI.

About the company

NVIDIA is recognized as one of the most desirable employers in the technology sector, attracting forward-thinking and hardworking individuals. The company is dedicated to fostering a diverse and inclusive work environment.

• Recognized as a top employer in the technology industry.
• Home to forward-thinking and hardworking professionals.
• Committed to maintaining a diverse work environment.