Infrastructure Solutions Architect - OEM Deployment

NVIDIA • Us, CA

23h • Onsite

About The Position

NVIDIA is transforming computer graphics, PC gaming, and accelerated computing with a legacy of innovation fueled by great technology and amazing people. We are tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of computers, robots, and self-driving cars. We are looking for 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. You will be leading technical deployments of NVIDIA AI systems, collaborate cross-functionally, and support NCP (NVIDIA Cloud Partner) and Enterprise integration.

Requirements

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
• 2+ 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.
• This is a field facing role and requires up to 50% travel to customers, partners and datacenters.
• 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) and Enterprise 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) and Enterprise customers to accelerate the deployment and adoption of NVIDIA AI technologies in cloud environments, ensuring time-to-value and successful integration.

Benefits

• equity
• benefits

What This Job Offers

• Job Type: Full-time