Senior Solutions Architect, Infrastructure

Details

NVIDIA is building the world’s leading AI company, and we are looking for an expert network and systems infrastructure Solutions Architect to help bring large-scale clusters of hardware and software technologies to production. As part of the Automotive Solutions Architecture team you will work with innovative customers focused on development and test of autonomous vehicles. You will engage directly with developers, researchers, and scientists at strategic customers and collaborate with NVIDIA business and engineering teams on product strategy.

Responsibilities

• Work with NVIDIA Automotive customers on data center GPU server and networking infrastructure projects as a solutions architect.
• Guide customer journey to server, network, and cluster deployments; lead discussions about network topologies, compute, management, telemetry, and storage fabrics.
• Identify new business/project opportunities for NVIDIA products and technology solutions in data center and AI applications; work closely with Engineering, Product Management, and Sales teams.
• Conduct regular technical customer meetings for project/product roadmap, feature discussions and introductions to new technology solutions.
• Build custom product demonstrations and POCs addressing critical customer needs.
• Analyze and solve compute and network performance issues.
• Prepare and deliver technical training presentations and workshops.

Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields, or equivalent experience.
• Motivation and skills to drive the technical pre-sales process (Solution Engineering / Sales Engineering).
• 8+ years of Solution Engineering or similar Sales Engineering experience.
• Advanced practical knowledge of networking: data center topologies, routing and switching protocols, Ethernet, and InfiniBand.
• System-level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers.
• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, and data center compute/network/storage deployments.
• Effective time management; ability to balance multiple tasks and communicate ideas and code clearly via documents and presentations.

Preferred / Ways to stand out

• External customer-facing experience.
• Systems engineering, coding, and debugging skills, including experience with C/C++ and Linux kernel/drivers.
• Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA networking technologies (DPU, RoCE, InfiniBand), and/or ARM CPU solutions.
• Familiarity with virtualization concepts.
• Creative problem-solving and debugging ability.

Benefits and Compensation

• Base salary ranges by level: Level 4 — 184,000 USD to 287,500 USD; Level 5 — 224,000 USD to 356,500 USD.
• Eligibility for equity and company benefits (see NVIDIA benefits page).

Location & Travel

• Role is based in Austin, Texas (US). Work includes conferencing and occasional travel for on-site customer visits and industry events.

Application

• Applications for this job will be accepted at least until October 11, 2025.

Equal Opportunity

• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate on the basis of protected characteristics.