Solutions Architect - Rack Scale AI Systems

Details

NVIDIA is seeking a Solutions Architect to join IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization that works with NVIDIA product groups (Graphics, Mobile, Deep Learning, AI, Driverless Cars) to provide cloud and datacenter infrastructure services. The environment hosts heterogeneous machines and devices (Windows/Linux/Android) across thousands of servers and provides automated jobs and services to NVIDIA software engineers worldwide. The role focuses on Rack Scale AI products, distributed infrastructure, and designing and deploying cloud/datacenter solutions.

Responsibilities

• Work with NVIDIA product teams to understand new product roadmaps and requirements, primarily Rack Scale AI products.
• Design optimum solutions to deploy products in datacenter or lab environments using sophisticated design techniques, services and tools.
• Assist in roll-out and deployment of new development features to support the latest NVIDIA hardware and technologies.
• Work closely with engineers, architects, technical product managers and application developers to set strategies for product launches.
• Define and implement full-scale solutions for product onboarding into hosted and private cloud environments.
• Solve complex problems involving multi-site deployments of NVIDIA products and contribute to deployment quality and improved time-to-market for next-generation products.
• Collaborate with cross-functional teams including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and partners to deliver platforms from concept to prototype to deployment.
• 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.
• Solid background in OS kernels and system engineering.
• Proven ability to rapidly learn new technologies and deploy systems across hardware and multiple layers of software in fast-paced environments.
• Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture.
• Strong problem-solving ability and experience in product engineering, failure analysis and debug, and 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 and automation.
• Experience in large-scale QA environments for product bring-ups.
• Special skills in large-scale and cluster computing (MPI), datacenter design including high-speed interconnects (InfiniBand), cluster storage and scheduling design/management.

Compensation & Benefits

• Base salary is determined based on location, experience, and comparable pay. The base salary ranges are:
  • Level 5: 208,000 USD - 333,500 USD
  • Level 6: 256,000 USD - 414,000 USD
• You will also be eligible for equity and benefits (see https://www.nvidia.com/en-us/benefits/).

Other information

• Applications for this job will be accepted at least until July 17, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.