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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect, AI Factory Infrastructure DevOps - **Company:** NVIDIA Ltd. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $152,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Linux, DevOps, Kernel-Based Virtual Machine, Reliability Engineering, Coupa Supplier Portal, Prometheus, Server Virtualization, Supercomputing, Virtualization Technology, AI Infrastructure, Grafana, Deep Learning, Kubernetes, Information Technology, Slurm, Docker, Vmware - **Published:** June 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8c17599625b01fd0 ## About the Role Do you have experience in Server virtualization?, * BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). * 5+ years of work-related experience in high-tech IT companies with experience in NCP, CSP, site reliability, and virtualization technologies (VMware, Linux KVM). * 4+ years of working experience with Kubernetes, Slurm, Docker, etc. * Proficiency with AI tools (Claud, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus. * Remarkable talent for effectively handling multiple initiatives and priorities. * Strong time-management and social skills for coordinating complex projects. * Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Ways to stand out from the crowd: * This role requires hands-on experience and extensive ability to solve problems within the customer infrastructure. * Kubernetes (K8S) is an infrastructure-orchestration software platform (NVIDIA Mission Control). * Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems, is a huge plus. * Experience working with OEMs in industrial, military, and ruggedized computing spaces. ## Description * Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers. * Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure build wins. * Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts. * Identify customer architectures and key product requirements in the CSP/OEM AI market to efficiently implement NVIDIA's solutions. * Provide on-site support to solve hardware and software problems, with a focus on deep learning inference. * Lead the product through its entire lifecycle, from design-in to end-of-life, ensuring detailed execution and customer satisfaction. * Actively maintain the NVIDIA side of infrastructure components and collect findings at the customer site. * Offer technical and sales training to direct sales teams and channel partners. * The expected travel requirement is approximately 25-30%. ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Your Next AI Needs 10,000 GPUs. 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