Solutions Architect, AI Factory Infrastructure

NVIDIA Corporation; Santa Clara (CA); On-site; USD 124,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking an early-in-career Solution Architect to help design and implement AI infrastructure for data centers. You will work on full-stack designs spanning hardware, software, and orchestration to enable AI workloads at scale.

The role emphasizes collaboration with customers, developers, and product teams to optimize workflows, pipelines, and performance in hybrid cloud environments.

Qualifications

• Bachelor's degree in Engineering or Computer Science.
• 3+ years in IT infrastructure or related field.
• Strong passion for AI infrastructure.
• Familiarity with Linux, Kubernetes, Linux administration, and cloud-native tooling.

Responsibilities

• 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, task coordination and application tuning.
• Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution.

Skills

Linux

Kubernetes

Networking

Cloud native tooling

Python

Education

Bachelor's degree in Engineering or Computer Science

Tools

Terraform

Helm

Containers

Job description

Are you passionate about enabling the next generation of AI development? We are looking for an early-in-career 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, task coordination 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

What we need to see:

• Bachelor's degree or equivalent experience in Engineering or Computer Science
• 3+ 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
• Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling
• Familiarity with Linux system environments including using Linux for systems administration
• Comfortable with Python programming
• Understanding how software and hardware work together to optimize applications
• Ability to work independently with a remote team with minimal direction
• Outstanding communication skills, strong interpersonal and be an excellent teammate!

Ways to stand out from the crowd:

• Experience with on-prem infrastructure architecture and big cloud deployments
• Experience with cloud native tooling including Terraform, Kubernetes, Helm
• Background in building large scale infrastructure that deliver workloads via containers
• Experience developing and deploying solutions in hybrid and/or cloud environments
• Critical thinking capabilities that leverage fundamentals to deduce solutions to unforseen 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 31, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.