Network Solutions Architect - NVIDIA AI Cloud Partners

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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.

What you’ll be doing Define reference architectures – blueprint for end‑to‑end solutions integrating GPU and networking into a data‑center solution.

Support account teams in identifying new business opportunities for NVIDIA Networking products and technology solutions in cloud, telco, enterprises, artificial intelligence, and large‑language‑model (LLM) applications, working closely with Sales teams and Product Marketing to make our customers' dreams a reality.

Technical account management for NVIDIA Networking product key accounts.

Conduct regular customer meetings for product updates and introductions to new technology solutions and deliver product roadmap presentations to customers and technology partners.

Build and deliver custom‑tailored product demonstrations and proof‑of‑concepts (POCs) for solutions that address critical business needs for our customers.

Technical project management of complex networking deployments and design‑in opportunities.

Analyze and troubleshoot performance issues with new technology at the customer site and prepare and deliver technical training presentations.

Provide constructive feedback to engineering regarding product requirements and evolution, including submitting requests for enhancements supported with business evidence.

What we need to see 5+ years of solution architect (or similar sales‑engineering) experience.

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, 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 proof‑of‑concepts.

Strong sense of achievement and customer‑focused attitude.

Effective time management and capable of balancing multiple demands with competing deadlines.

Travel required as needed (approximately 30% of the working hours).

Ways to stand out from the crowd Low‑latency / high‑bandwidth interconnects such as Infini Band / 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 software and distributed/parallel computing.

Practical Dev Ops and/or agentic AI experience.

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.

NVIDIA pioneered accelerated computing.

Today, our AI infrastructure powers global intelligence, transforming every industry.

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