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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Solutions Architect - OEM Deployment - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Experienced - **Salary:** $124,000.0 - $195,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Bash Shell, Cloud Computing, Microarchitecture, Data Centers, Linux on Embedded Systems, Network Interface Controllers, Networking Hardware, Python (Programming Language), Performance Tuning, Remote Direct Memory Access, Ansible, Signal Integrity, Systems Architecture, TCP/IP, Cloud Platform System, Storage Technologies, Information Technology, Network Server - **Published:** August 20, 2026 - **Apply:** https://www.disabledperson.com/jobs/74390832-infrastructure-solutions-architect-oem-deployment ## About the Role * 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. Ways to stand out from the crowd: * 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. ## Description * 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. ## Related Videos - [Your Next AI Needs 10,000 GPUs. 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