Solutions Architect - Rack Scale AI Systems

About the role

NVIDIA is seeking a Solutions Architect to join the IPP (Infrastructure, Planning and Process) Cloud Infrastructure Team. The Solutions Architect will collaborate with NVIDIA Product Teams to deploy new Rack Scale AI products in datacenters or labs, optimize cluster deployment methods, and integrate and manage software stacks in cloud environments.

Responsibilities

• Work with NVIDIA Product Teams to understand new product roadmaps and requirements, particularly for 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 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.
• 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 for next-gen products.
• Integrate and optimize cluster deployment methods and manage software 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.
• 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 including high-speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

Skills

• Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers, and cloud architecture.
• 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

NVIDIA offers competitive compensation packages, including base salaries ranging from $208,000 to $333,500 for Level 5 and $256,000 to $414,000 for Level 6, along with equity and benefits.

Pay

The base salary range is $208,000 - $333,500 for Level 5 and $256,000 - $414,000 for Level 6.

Schedule

The schedule is flexible and can vary based on project demands.

Application Instructions

Applications for this job will be accepted at least until February 1, 2026.