Solutions Architect - Rack Scale AI Systems

NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team within NVIDIA’s global organization. The role focuses on designing, deploying, and supporting cloud services that enable NVIDIA’s product teams to bring new hardware and AI solutions to market. Responsibilities Work with NVIDIA Product Teams to understand new product roadmaps and requirements, primarily for Rack Scale AI Products. Find optimum solutions to deploy these products in a datacenter or lab environment using sophisticated design techniques, services and tools. Assist in roll‑out and deployment of new development features that support the latest NVIDIA hardware and technologies. Collaborate with world‑class engineers, architects, technical product managers and application developers to set best strategies for product launches. Define and implement full‑scale solutions for product onboarding into hosted and private cloud environments. Solve sophisticated problems involving multi‑site deployments of NVIDIA products, contributing to deployment quality and time‑to‑market. Collaborate with cross‑functional teams—including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and partners—to deliver a reliable and robust platform from concept to prototype to deployment. Integrate and optimize cluster deployment methods and manage software stack deployments, including provisioning services into the cloud. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or equivalent experience. 12+ years of relevant experience. 6+ years of Linux and scripting experience. Solid background in OS kernels and system engineering. Track record of quickly understanding new technologies outside one’s domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast‑paced environment. Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, and excellent communication and planning skills. Strong problem‑solving ability and experience in product engineering/failure analysis and debugging, hardware or test design. Understanding of dense datacenter design, including compute, storage and networking. Ways to Stand Out Understanding of software engineering principles and enterprise system architecture. Experience with GPU and compute cluster administration & automation. Experience in large‑scale QA environments, for product bring‑ups. Special skills in large‑scale computing and cluster computing (MPI), data center design including high‑speed interconnect InfiniBand, cluster storage and scheduling design, and/or management experience. Compensation Base salary will be determined based on location, experience, and market rates: $208,000–$333,500 USD for Level5, and $256,000–$414,000 USD for Level6. Eligible for equity and benefits. Equal Employment Opportunity Statement NVIDIA is committed to fostering an inclusive work environment and is an equal‑opportunity employer. NVIDIA does 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. #J-18808-Ljbffr Segment (Twilio)