Senior Solutions Architect, AI Factory Infrastructure at NVIDIA

**Who this is for** This position is for highly experienced systems architects capable of leading technical sales and infrastructure implementation for large-sc

Work type: remote

Location: US, NC, Durham | US, NC, Remote | US, WA, Remote | US, CA, Remote

Type: Full-time

Summary

**Who this is for** This position is for highly experienced systems architects capable of leading technical sales and infrastructure implementation for large-scale AI factory deployments. **Key highlights** You will lead full-stack designs for AI inference workflows, integrating hardware and software to support hybrid cloud and on-prem enterprise architectures. **You might be a good fit if you...** - Bring 15+ years of deep expertise in IT infrastructure and compute workload delivery. - Master Linux system environments and infrastructure automation via APIs, SDKs, and Python. - Demonstrate a strong command of AI inference workloads and large-scale data center orchestration. - Possess the leadership skills to mentor teams and guide complex, enterprise-level technical deployments.

Job Description

Are you passionate about enabling the next generation of AI development? We are looking for a top-tier Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation.

NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you'll be doing:

• Help customers with their AI factory journey, including workflow pipelines and performance optimization

• Focus 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 with focus on hybrid deployments between cloud and on-prem

• Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity

• Providing expertise in infrastructure workflows, including hardware, coordination of workload processes, and application tuning

• Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution

• Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

• Bachelor's degree or equivalent experience in Engineering or Computer Science

• 15+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise

• An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads

• Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, and tools built for cloud environments

• Strong experience with Linux system environments, using Linux as a core operating system for IT workload delivery

• Confident with Python programming, specifically interfacing with IT infrastructure through API, SDKs and libraries

• Mastery of how software and hardware work together to optimize applications

• Confident experience with AI workloads, with an emphasis on inference workloads

• Ability to work independently with a remote team with minimal direction

• Outstanding communication skills, strong interpersonal and be an excellent teammate!

• Experience with on-prem infrastructure architecture and large-scale cloud deployments

• Experience with cloud native tooling including Terraform, Kubernetes, Helm

• Background in building large scale infrastructure that deliver workloads via containers

• Experience optimizing and troubleshooting performance of compute infrastructure

• Deploying AI agents to increase productivity and accelerate content delivery

• Critical thinking capabilities that leverage fundamentals to deduce solutions to unforeseen problems

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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