NVIDIAHiring

Senior Solutions Architect, AI and HPC Infrastructure

  • Remote, United States
  • Senior
  • Posted 9 days ago
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In one line

Customer-facing architect helping energy companies plan and run AI and HPC infrastructure on accelerated GPU systems, from data center to edge.

About the role

Reference architectures, benchmarks and deployment guidance for power, oil and gas, grid and renewables accounts are the core output. Travel to customer meetings can reach about a fifth of the time.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
GPU clusters, InfiniBand, Ethernet, RDMA, CI/CD, Kubernetes, HPC
Posted
20 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Advise energy customers and partners on GPU clusters, AI factories and edge deployments.
  • Run discovery, architecture reviews, benchmarks, demos and proofs of concept.
  • Cover compute, networking, storage, containers, observability, security and power in designs.
  • Write reference architectures, sizing guides, playbooks and whitepapers.
  • Promote monitoring and telemetry tools that lift cluster use and reliability.

What they look for

  • Degree in computer science, electrical or computer engineering, physics or similar, or equal experience.
  • Eight or more years with AI infrastructure, distributed systems, cloud, HPC or ML platforms.
  • Experience designing and running accelerated computing at scale.
  • Knowledge of cluster orchestration, scheduling, automation and CI/CD pipelines.
  • Familiar with InfiniBand, Ethernet, RDMA and network performance tuning.

How Keywordise applies for you

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Claude

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  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Senior Solutions Architect, AI and HPC Infrastructure as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: degree in computer science, electrical or computer engineering, physics or similar, or equal experience; eight or more years with AI infrastructure, distributed systems, cloud, HPC or ML platforms; experience designing and running accelerated computing at scale. Skills it names include GPU clusters, InfiniBand, Ethernet, RDMA.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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