Solutions Architect, AI Factory Infrastructure

Details

Are you passionate about building the next generation of accelerated computing AI Factories? 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. This role helps customers craft and implement accelerated computing solutions powering workflows including Omniverse for digital simulation and inference for AI use cases.

On this team you will do full stack deployment including hardware architecture, workload orchestration and application performance tuning. You will be immersed in a diverse environment and will help design and deliver infrastructure that enables AI workloads across cloud and on-prem environments.

Responsibilities

• Help customers with their AI Factory journey, including workflow pipelines and performance optimization
• Focus on data center implementations for inference use cases, while still supporting training as a use case
• Architect physical AI solutions using NVIDIA solutions such as Omniverse, COSMOS and MEGA; including data aggregation, application development, synthetic data generation 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
• Provide expertise in hardware infrastructure workflows, including server design, GPU architecture, Ethernet, Infiniband and NVLink networking
• Provide expertise in full stack infrastructure including workload orchestration and application tuning on bare metal, virtual machines and containers
• Understand solution trade-offs and propose enterprise customers the best architecture and technical execution

Requirements

• Outstanding passion for groundbreaking IT infrastructures that optimize AI workloads
• Expertise with infrastructure management including Linux, KVM hypervisor, Kubernetes, Ethernet networking and cloud-native tooling
• Ability to seamlessly shift between Linux system environments and Python programming
• Understanding of how software and hardware work together to optimize applications
• Knowledge of GPU architecture, specifically focused on how application execution is accelerated on GPUs
• 2+ years of meaningful work experience, ideally in an IT infrastructure or related field
• 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 and strong interpersonal abilities

Preferred / Ways to stand out

• Experience with on-prem infrastructure architecture and large cloud deployments
• Experience with cloud-native tooling including Terraform, Kubernetes, Helm
• Background building large-scale infrastructure that delivers workloads via containers
• Experience developing and deploying solutions in hybrid and/or cloud environments
• Strong critical thinking capabilities and fundamentals-based troubleshooting

Benefits

• Base salary ranges (based on location and level):
  • Level 2: 120,000 USD - 189,750 USD
  • Level 3: 148,000 USD - 235,750 USD
• Eligible for equity and benefits (see NVIDIA benefits page)
• Applications accepted at least until August 29, 2025

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate 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.