AI Factory Infra Architect - Hybrid Cloud & On-Prem

NVIDIA Corporation; North Carolina; On-site; USD 124,000 - 196,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in the United States is seeking an early-in-career Solution Architect to join the AI Infrastructure team. You will help customers design, architect and implement accelerated computing data center solutions that power AI inference and digital simulation workloads.

You will work across full stack design—from hardware architecture to workload orchestration and application performance tuning—collaborating with customers and internal teams to deliver hybrid cloud and on-prem

Qualifications

• Bachelor's degree in Engineering or Computer Science.
• 3+ years of IT infrastructure or related experience.
• Passion for groundbreaking IT infrastructures that optimize AI workloads.
• Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, 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 and be an excellent teammate!

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 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, task coordination 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.

Skills

Linux

Kubernetes

Python

Cloud architecture

Effective communication

Education

Bachelor's degree in Engineering or Computer Science

Tools

Terraform

Helm

Linux

Job description

NVIDIA Corporation in the United States is seeking an early-in-career Solution Architect to join the AI Infrastructure team. You will help customers design, architect and implement accelerated computing data center solutions that power AI inference and digital simulation workloads.

You will work across full stack design—from hardware architecture to workload orchestration and application performance tuning—collaborating with customers and internal teams to deliver hybrid cloud and on-prem