Energy AI Infrastructure Architect - GPU HPC & Edge (Equity)

NVIDIA Corporation; United States; Remote; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in the United States is seeking an outstanding AI Solutions Architect to help energy-sector customers design, deploy, and optimize AI infrastructure on NVIDIA's accelerated computing platforms. You will work across product, engineering, sales, developer relations, and partner teams to enable training, inference, and production deployment at scale.

The role requires 8+ years in AI infrastructure, deep knowledge of cluster orchestration, and strong communication skills.

Qualifications

• BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, or related field (or equivalent experience).
• 8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infra, or ML platforms.
• In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD pipelines.
• Familiarity with data center networking technologies such as InfiniBand, Ethernet, RDMA, and performance tuning.
• Experience with energy sectors and their IT environments is a plus.

Responsibilities

• Partner with energy-sector customers, ISVs, and account teams on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance for AI infrastructure.
• Advise on design, build-out, and optimization of accelerated AI infrastructure for energy customers, including large-scale GPU clusters and edge deployments.
• Support infrastructure design across compute, networking, storage, containers, observability, security, and power for energy-sector AI workloads.
• Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization and reliability.
• Document learnings for others via samples, whitepapers, blogs, and collaborative problem-solving with customers.
• Build reference architectures, deployment guides, sizing guidance, benchmark reports, and technical playbooks for energy-sector AI infra.
• Collaborate with flagship customers and industry partners to advance our computing platform.
• Travel up to 20% for customer meetings may be required.

Skills

AI infrastructure

Distributed systems

CI/CD pipelines

InfiniBand networking

Communication

Problem-solving

Education

BS/MS/PhD in CS/EE/Physics or related

Tools

Docker/Containers

Kubernetes

OpenMPI

NCCL

Job description

NVIDIA Corporation in the United States is seeking an outstanding AI Solutions Architect to help energy-sector customers design, deploy, and optimize AI infrastructure on NVIDIA's accelerated computing platforms. You will work across product, engineering, sales, developer relations, and partner teams to enable training, inference, and production deployment at scale.

The role requires 8+ years in AI infrastructure, deep knowledge of cluster orchestration, and strong communication skills.