Solutions Architect, AI Factory Infrastructure

Description

The company builds accelerated computing and AI software, and this team supports customers in designing and deploying the data center infrastructure those tools run on.

The role is aimed at someone early in their career and sits within the AI Infrastructure team.

Work covers full stack design: hardware architecture, workload orchestration and application performance tuning, for uses such as large-scale AI inference and physical AI simulation.

Responsibilities

• Help customers build AI factories, covering workflow pipelines and performance optimization.
• Design data center implementations for inference, including distributed, disaggregated and scale-out workflows.
• Map out physical AI projects on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines.
• Lead technical sales for AI factories, especially hybrid setups spanning cloud and on-prem.
• Build hybrid cloud architectures covering data pipelines, storage, security and user streaming connectivity.
• Advise on hardware, task coordination and application tuning within infrastructure workflows.
• Weigh trade-offs between solutions and recommend the right architecture and execution for enterprise customers.
• Work directly with key customers to learn their workflows and pass feedback to internal product and engineering teams.

Requirements

• A bachelor's degree in Engineering or Computer Science, or equivalent experience.
• At least 3 years of meaningful work experience, ideally in IT infrastructure or a related area.
• Strong interest in advanced IT infrastructure that speeds up AI workloads.
• Working knowledge of infrastructure management, including Linux, Kubernetes, Ethernet networking and cloud native tooling.
• Experience using Linux for systems administration.
• Comfortable programming in Python.
• An understanding of how software and hardware work together to optimize applications.
• Able to work independently with a remote team and needs little direction.
• Clear written and verbal communication, good interpersonal skills, and a strong team player.
• Nice to have: experience with on-prem infrastructure architecture and large cloud deployments.
• Nice to have: experience with cloud native tooling such as Terraform, Kubernetes and Helm.
• Nice to have: background in building large-scale infrastructure that delivers workloads through containers.
• Nice to have: experience developing and deploying solutions in hybrid or cloud environments.
• Nice to have: strong critical thinking that uses fundamentals to work out solutions to unexpected problems.

Conditions

Base salary depends on location, experience and the pay of employees in similar roles.

Base salary range is 124,000 USD to 195,500 USD for Level 2, and 152,000 USD to 241,500 USD for Level 3.

Applications are accepted until at least October 31, 2026.

This is an existing vacancy.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on protected characteristics.