AI Factory Infra Architect — Hybrid Cloud & On-Prem + Equity

NVIDIA Corporation; Washington; On-site; USD 124,000 - 242,000; Full time

Job summary

NVIDIA is seeking an early-career Solution Architect to join its AI Infrastructure team in the United States. You will design and implement accelerated computing data center solutions for AI inference and digital simulation, with a focus on end-to-end workflows and performance tuning.

You will work on full-stack design including hardware architecture, workload orchestration and optimization, collaborating with customers and internal teams to deliver scalable hybrid cloud architectures.

Qualifications

• 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.
• Outstanding communication skills and be an excellent teammate.
• 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.

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

Communication skills

Independent worker

Education

Bachelor's degree in Engineering or Computer Science

Tools

Linux

Kubernetes

Terraform

Helm

Python

Job description

NVIDIA is seeking an early-career Solution Architect to join its AI Infrastructure team in the United States. You will design and implement accelerated computing data center solutions for AI inference and digital simulation, with a focus on end-to-end workflows and performance tuning.

You will work on full-stack design including hardware architecture, workload orchestration and optimization, collaborating with customers and internal teams to deliver scalable hybrid cloud architectures.