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Solutions Architect, AI Factory Infrastructure DevOpsNVIDIACalifornia, Maryland, United States
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Solutions Architect, AI Factory Infrastructure DevOps

NVIDIA
  • US
    California, Maryland, United States
  • US
    California, Maryland, United States

Über

Position Overview We seek a Solutions Architect to join our AI Factory infrastructure deployment team. The role focuses on introducing advanced NVIDIA GPU products across data centers and edge computing deployments, building and scaling high‑performance, distributed AI infrastructure. Responsibilities 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. Act as a technical specialist on GPU and networking products and directly support sales account managers to secure build wins. 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. 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. Travel requirement: approximately 25%–30%. Qualifications B.S. or M.S. in Engineering, Electrical Engineering, Physics, 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 (Claude, Codex, Perplexity, etc.), Redfish, Grafana, and Prometheus. Remarkable talent for 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 management and engineering teams. Ways to Stand Out Hands‑on experience solving problems within customer infrastructure. Experience with Kubernetes (K8S) as an infrastructure‑orchestration platform (NVIDIA Mission Control). Practical knowledge of NVIDIA systems technology, such as DGX, GB200, and HGX systems. Experience working with OEMs in industrial, military, and ruggedized computing spaces. Compensation and Benefits Base salary range: $152,000USD–$241,500USD for Level3, and $184,000USD–$287,500USD for Level4. Eligible for equity and benefits. Equal Opportunity Statement NVIDIA is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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  • California, Maryland, United States

Sprachkenntnisse

  • English
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