Senior AI Infrastructure Architect

Engg; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

NVIDIA is seeking an AI Factory Solution Architect to drive high-performance AI infrastructure deployments across data centers, on-prem and cloud.

You will lead integration of NVIDIA GPU technology into HPC architectures, advocate for Deep Learning and MLOps, and guide customers through POCs and architectural decisions. This role requires deep Kubernetes, containers, PyTorch and TritonServer experience, with a proven track record of technical customer engagements.

Qualifications

• B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
• 5+ years in software development or ML engineering.
• Extensive ability to solve problems within the customer infrastructure.
• Experience with on-prem Kubernetes (K8S) infrastructure-orchestration and platform.
• Experience with containers and MLOps tools.
• Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer.
• Capable of working in a constantly evolving environment without losing focus.
• Strong analytical and problem-solving skills.
• Good time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

Responsibilities

• Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
• Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
• Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community.
• Support Development activities and engage in POCs/POVs to validate new features, and architectures.
• Develop solutions and showcase the AI ecosystem.

Skills

ML engineering

Problem solving

Time management

Analytical skills

Education

B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science

Tools

Kubernetes (K8S)

Containers

MLOps tools

PyTorch

vLLM

TritonServer

Job description

NVIDIA is seeking an AI Factory Solution Architect to drive high-performance AI infrastructure deployments across data centers, on-prem and cloud.

You will lead integration of NVIDIA GPU technology into HPC architectures, advocate for Deep Learning and MLOps, and guide customers through POCs and architectural decisions. This role requires deep Kubernetes, containers, PyTorch and TritonServer experience, with a proven track record of technical customer engagements.