Solutions Architect, AI Factory Infrastructure

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 optimizationFocus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflowsScope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelinesLead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-premDeliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivityProviding expertise in infrastructure workflows, including hardware, task coordination and application tuningUnderstand different solutions trade-offs and propose enterprise customers the best architecture and technical executionWork directly with key customers to understand workflows and share feedback with internal product and engineering teamsWhat we need to see:Bachelor's degree or equivalent experience in Engineering or Computer Science3+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertiseAn outstanding passion for groundbreaking IT infrastructures that optimize AI workloadsKnowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native toolingFamiliarity with Linux system environments including using Linux for systems administrationComfortable with Python programmingUnderstanding how software and hardware work together to optimize applicationsAbility to work independently with a remote team with minimal directionOutstanding 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 deploymentsExperience with cloud native tooling including Terraform, Kubernetes, HelmBackground in building large scale infrastructure that deliver workloads via containersExperience developing and deploying solutions in hybrid and/or cloud environmentsCritical thinking capabilities that leverage fundamentals to deduce solutions to unforseen problemsNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!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 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.