Senior Network Solution Architect – AI Fabrics
About the role
NVIDIA is seeking an experienced Network Solutions Architect Engineer to drive the deployment of our next-generation AI networking platforms into customer data centers. The ideal candidate will partner with AI-native and consumer internet customers on large-scale GPU and networking deployments, guiding architecture decisions across network, compute, and storage, including fabric design.
Responsibilities
- Partner with AI-native / consumer internet customers on large data center GPU and networking deployments.
- Guide architecture decisions across network, compute, and storage, including fabric design.
- Support on-site bring-up of server, network, and cluster infrastructure in customer data centers.
- Demonstrate expertise on advanced GPU and network systems (Spectrum-X, BlueField DPU, InfiniBand/RoCE, etc.) for key accounts.
- Run regular technical account reviews covering roadmap alignment, cluster issues, feature discussions, and new technology introductions.
- Capture customer-specific requirements and translate them into concrete feedback for product, architecture, and engineering teams.
- Analyze and debug configuration and performance issues in RoCE and InfiniBand environments.
- Work across NICs, switches, Linux, and system software to deliver performant, reliable AI clusters.
- Identify and shape new project opportunities for NVIDIA GPUs, networking, and software in AI and data center use cases.
- Collaborate closely with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes.
- Build targeted Proof of Concepts (POCs) that showcase the value of NVIDIA’s networking stack (e.g., Spectrum-X fabrics, BlueField DPUs) in real customer environments.
Requirements
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience.
- 6+ years of hands-on network engineering experience in data center or cloud environments.
- Proven, expert-level troubleshooting of data center networks (packet-level, control plane, and fabric behavior).
- Deep protocol knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks (ECMP, Clos/leaf–spine).
- Experience with high-density switching at cloud or hyperscale is strongly preferred.
- Solid understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers.
- Strong time management and ability to context-switch across multiple customers and projects.
- Excellent written and verbal communication, including clear design docs, customer presentations, and root-cause summaries.
Qualifications
- Advanced certifications: CCIE, JNCIE, or equivalent expert-level certifications.
- Experience in Python, Bash, or C/C++ for automating network workflows, validation, and debug.
- Hands-on work with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms.
- Customer-facing background: Pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers.
- Direct experience bringing up and operating large clusters or supercomputing environments.
- Familiarity with virtualization, containers, and cloud networking concepts.
Benefits
We offer competitive compensation, including a base salary range of $184,000 - $287,500 for Level 4 and $224,000 - $356,500 for Level 5, along with equity and comprehensive benefits. NVIDIA is committed to fostering an inclusive work environment and is open to remote work locations.
Pay
Base salary range: $184,000 - $287,500 for Level 4, and $224,000 - $356,500 for Level 5.
Schedule
Occasional (20%) travel is required for on-site visits to customers and industry events.
Skills
- Expertise in advanced networking protocols and architectures.
- Strong problem-solving and debugging skills in complex network environments.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with customer-facing roles and large-scale deployments.
Benefits
- Comprehensive benefits package.
- Competitive compensation with a range of $184,000 - $356,500.
- Flexible work arrangements, including remote work options.
- Opportunities for professional growth and development.
Ways to Stand Out
- Advanced certifications such as CCIE, JNCIE, or equivalent.
- Experience with Python, Bash, or C/C++ for automation.
- Hands-on experience with NVIDIA products and platforms.
- Experience with customer-facing roles and large-scale deployments.
Application Instructions
Applications for this job will be accepted at least until July 18, 2026. Please apply directly through the provided link or contact us for more information.