Nvidia Solutions Architect Data Center Infrastructure 

United States, Texas 

382561048

What you'll be doing:

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

• Focus data center implementations for inference use cases, while still supporting training as a use case

• Scope digital twin journeys on Omniverse, including data aggregation, application development, synthetic data generation and simulation pipelines

• Lead technical sales activities for data centers 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, workload orchestration 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:

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

• Expertise with infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling

• Ability to seamlessly shift between Linux system environments to Python programming

• Understanding how software and hardware work together to optimize applications

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

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

• 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 unforeseen problems