Solutions Architect, AI Factory Infrastructure

NVIDIA • Santa Clara, WA

8d • $124,000 - $241,500

About The Position

NVIDIA is seeking an early-in-career Solutions Architect to join its AI Infrastructure team and help customers design, architect, and implement accelerated computing data center solutions. The role supports workflows such as AI inference at scale and physical AI through digital simulation. It involves full-stack design across hardware architecture, workload orchestration, and application performance tuning.

The position focuses on helping customers develop AI factory infrastructure, including inference implementations, physical AI pipelines using Omniverse, and hybrid cloud architectures spanning cloud and on-premises environments. The architect works directly with key customers to understand their workflows, recommend suitable technical solutions, and share feedback with NVIDIA product and engineering teams.

Requirements

• Bachelor's degree or equivalent experience in Engineering or Computer Science.
• At least 3 years of meaningful work experience, ideally in IT infrastructure or a related field.
• Strong interest in IT infrastructure that optimizes AI workloads.
• Knowledge of infrastructure management, including Linux, Kubernetes, Ethernet networking, and cloud-native tooling.
• Familiarity with Linux system environments, including Linux systems administration.
• Comfort with Python programming.
• Understanding of how software and hardware work together to optimize applications.
• Ability to work independently with a remote team and minimal direction.
• Strong communication and interpersonal skills and ability to be an effective teammate.

Nice To Haves

• Experience with on-premises infrastructure architecture and large cloud deployments.
• Experience with cloud-native tooling, including Terraform, Kubernetes, and Helm.
• Background building large-scale infrastructure that delivers workloads via containers.
• Experience developing and deploying solutions in hybrid and/or cloud environments.
• Critical-thinking ability to use fundamentals to solve unforeseen problems.

Responsibilities

• Help customers with their AI factory journey, including workflow pipelines and performance optimization.
• Focus on data center implementations for inference use cases, including distributed, disaggregated, and scaled-out workflows.
• Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development, and simulation pipelines.
• Lead technical sales activities for AI factories, focusing on hybrid deployments between cloud and on-premises environments.
• Deliver hybrid cloud architectures for data pipelines, storage, security, and user streaming connectivity.
• Provide expertise in infrastructure workflows, including hardware, task coordination, and application tuning.
• Understand solution trade-offs and propose suitable architecture and technical execution to enterprise customers.
• Work directly with key customers to understand workflows and share feedback with internal product and engineering teams.

Benefits

• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level