Log In
Sign Up
Are you passionate about building the next generation of AI data centers?. We are looking for an early-in-career Solution Architect to join the growing NVIDIA Data Center 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 craft and implement accelerated computing data center solutions that will power workflows including Omniverse for digital simulation and inference for AI use cases.NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that power and operate the workloads.
On this team, you will do full stack deployment 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 data center journey, including workflow pipelines and performance optimizationFocus data center implementations for inference use cases, while still supporting training as a use caseScope digital twin journeys on Omniverse, including data aggregation, application development, synthetic data generation and simulation pipelinesLead technical sales activities for data centers 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, workload orchestration 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:An outstanding passion for groundbreaking IT infrastructures that optimize AI workloadsExpertise with infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native toolingAbility to seamlessly shift between Linux system environments to Python programmingUnderstanding how software and hardware work together to optimize applications2+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertiseBachelor’s degree or equivalent experience in Engineering or Computer ScienceAbility 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 unforeseen 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!The base salary range is 120,000 USD – 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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.SummaryLocation: US, CA, Remote; US, NC, Remote; US, TX, Remote; US, WA, Remote; US, MA, RemoteType: Full time
