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Nscale

Data Center Solutions Architect

Nscale is hiring a Data Center Solutions Architect for a remote role open to applicants in United States. It pays $160k-$290k a year and Level rates it ; you can apply on Nscale.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • This is listed as a remote role.
  • The posting mentions Infiniband, Ethernet and Roce among its tools and skills.
  • Level classes it as a senior role.
  • Nscale has 297 other open roles on Level.

AI in this role

Designs end-to-end data center and high-performance GPU infrastructure solutions for AI workloads.

InfinibandEthernetRoceGPU
data-center-architecturegpu-infrastructurenetworkingstorage-systems

.About the Role (Job Purpose)

We are looking for a Data Center Solutions Architect to design and deliver end-to-end GPU infrastructure solutions. This role bridges customer requirements with deep technical design across networking, compute, storage, and data center systems.

What You’ll be Doing (Responsibilities)

  • Engage directly with customers to understand technical requirements and workloads
  • Design full-stack data center solutions including:
    • GPU racks and configurations
    • Network architecture (leaf/spine, rail design, InfiniBand, Ethernet, RoCE)
    • Storage systems and data pipelines
    • Control plane and management systems
  • Translate customer needs into detailed technical architectures and specifications
  • Collaborate with internal engineering teams to ensure feasibility and alignment
  • Support deployment planning and ensure performance and reliability targets are met
  • Act as a trusted technical advisor to customers
  • Engage in future technology familiarisation and research.
  • Familiarity with AI tooling to augment design process above

About You (Skills / Qualifications)

  • Strong experience in data center architecture and large-scale infrastructure
  • Deep understanding of networking (leaf/spine, high-performance fabrics)
  • Familiarity with GPU systems and AI/ML infrastructure workloads
  • Experience with storage systems and distributed infrastructure
  • Ability to communicate complex technical concepts clearly to diverse audiences
  • Customer-facing experience strongly preferred
  • 10+ yrs relevant experience

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

Salary Range$160,000—$290,000 USD

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Nscale does not accept unsolicited candidate submissions from recruitment agencies.

How we rate this

Data Center Solutions Architect at Nscale rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data Center ArchitectureGPU InfrastructureNetworkingStorage SystemsInfinibandEthernetRoceGPU

Also common in solutions architect jobs at this level

Pay

This job starts at
$160k
Typical solutions architect job
$169k

This posting starts 5% below the typical solutions architect job. See solutions architect jobs

Questions you could be asked

  1. Tell me about a project where data center architecture was part of your work. What did you do?
  2. Tell me about a project where gpu infrastructure was part of your work. What did you do?
  3. Tell me about a project where networking was part of your work. What did you do?
  4. Tell me about a project where storage systems was part of your work. What did you do?
  5. Walk me through how you've used Infiniband in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Center Architecture, GPU Infrastructure, Networking, Storage Systems, and Infiniband. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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