Senior Infrastructure Solutions Architect

NVIDIA • Santa Clara, CA

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About The Position

We are now looking for a Infrastructure Solutions Architect! We are now looking for a Infrastructure Solutions Architect! NVIDIA’s AI platforms have already made a major impact across leading academic institutions, start-ups, and the world’s largest enterprise companies. We need passionate, creative, and driven individuals to help us continue delivering groundbreaking enterprise solutions. This role is ideal for a specialist in system design and networking who can lead customers through the AI computing revolution. Lead technical deployments of NVIDIA AI systems, collaborate cross-functionally, support NCP (NVIDIA Cloud Partner) integration through our OEM partners.

Requirements

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
• 5+ years of experience in system design or technical customer support within the technology industry, including hands-on involvement in cloud partner architecture/solution validation, deployment, and scaling activities.
• Deep knowledge of datacenter hardware such as servers, storage systems, and network devices.
• Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.
• Excellent written and verbal communication skills, with a proven ability to collaborate effectively across engineering and leadership teams.

Nice To Haves

• Proven experience with large-scale datacenter rollouts and integration of solutions with NCP (NVIDIA Cloud Partner) platforms, including support for large-scale cloud deployment and the ability to scale production efficiently.
• Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments.
• Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments.
• Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems.
• Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout—especially in industrial, military, and ruggedized computing environments.

Responsibilities

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness.
• Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies.
• Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators.
• Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space.
• Support technical engagement with NCPs (NVIDIA Cloud Partners) to accelerate the deployment and adoption of NVIDIA AI technologies in cloud environments, ensuring time-to-value and successful integration.

Benefits

• You will also be eligible for equity and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior