Solutions Architect - Rack Scale AI Systems

About the role

NVIDIA is looking for a Solutions Architect to join the IPP (Infrastructure, Planning and Process) Cloud Infrastructure Team. The Solutions Architect will work with various NVIDIA product teams to understand new product roadmaps and requirements, particularly for Rack Scale AI products. They will find optimum solutions to deploy these products in datacenter or lab environments using sophisticated design techniques, services, and tools.

Responsibilities

• Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.
• Find Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.
• Aid in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.
• Collaborate with world-class engineers, architects, technical product managers and application developers to set the best strategies in place for a product launch.
• Define and implement 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.
• 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.

Qualifications

• Understanding of software engineering principles and enterprise system architecture.
• Experience with GPU and compute clusters 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 include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

Skills

• Software engineering principles and enterprise system architecture.
• GPU and compute clusters administration & automation.
• Large scale QA environments, for product bring ups.
• Large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

Benefits

The base salary range for this position is $208,000 - $333,500 for Level 5 and $256,000 - $414,000 for Level 6. Additionally, you will be eligible for equity and benefits.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Schedule

This posting is for an existing vacancy. Applications for this job will be accepted at least until July 17, 2026.