Solutions Architect, AI Factory Infrastructure

About the role

We are looking for an early-in-career Solution Architect to join the growing NVIDIA AI Infrastructure team. You will help customers design, architect, and implement accelerated computing data center solutions that power workflows including AI inference at scale and physical AI through digital simulation. On this team, you will do full-stack design including hardware architecture, workload orchestration, and application performance tuning.

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 a focus on hybrid deployments between cloud and on-prem
• Deliver hybrid cloud architectures for data pipelines, storage, security, and user streaming connectivity
• Provide expertise in infrastructure workflows, including hardware, task coordination, and application tuning
• Understand different solutions trade-offs and propose the best architecture and technical execution for enterprise customers
• Work directly with key customers to understand workflows and share feedback with internal product and engineering teams

Requirements

• 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, and 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 skills, and be an excellent teammate

Skills

• 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 delivers 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

Pay

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.