Hybrid Solutions Architect – Rack Scale AI Systems

at NVIDIA

• Job title: Solutions Architect – Rack Scale AI Systems
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: $208,000 - $414,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Linux
• Location requirements: Hybrid, Santa Clara, United States

About the role

• Solutions Architect managing Rack Scale AI Systems for NVIDIA's cloud infrastructure team. Collaborating with multi-functional teams to deliver robust cloud solutions for modern computing challenges.

Responsibilities

• Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.
• Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.
• Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
• Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.
• Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments.
• Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products.
• Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.
• Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.

Requirements

• Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.
• 12+ years of relevant experience.
• 6+ years of Linux and Scripting experience.
• Solid background on OS Kernels and system engineering.
• A track record of quickly understanding new technologies outside of your 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, as well as excellent communication and planning skills.
• Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design.
• Understanding of dense datacenter design including compute, Storage and networking.

Benefits

• equity
• benefits