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ePlus Technology, inc.

Principal Solutions Architect (Req#1048)

ePlus Technology, inc. · San Ramon, CA

Posted about 2 months ago

or apply directly on ePlus Technology, inc.'s site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
ePlus Technology, inc.'s roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of ePlus Technology, inc.'s roles list one
Ghost-job risk at ePlus Technology, inc.
high
53 stale, 3 reposted of 63 open
Hiring momentum
99 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from ePlus Technology, inc.'s own greenhouse board since 2026-08-03. Full hiring picture for ePlus Technology, inc..

About this role

The Principal Solutions Architect will lead the design, sizing, and deployment of AI infrastructure solutions aligned with NVIDIA AI Factory. This role involves engaging with customers to understand their AI and machine learning requirements, architecting full-stack solutions, and collaborating with sales and engineering teams to deliver complex infrastructure programs. The position requires deep technical expertise in GPU compute, networking, storage, and AI software, along with strong customer engagement throughout the pre-sales and delivery lifecycle.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of ePlus Technology, inc. as an employer.

What you need

  • Bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical discipline
  • 8+ years of solutions architecture, systems engineering, or technical pre-sales experience
  • At least 4 years focused on GPU infrastructure or HPC environments
  • Proven track record designing and deploying NVIDIA DGX or HGX-based GPU clusters in production AI/ML environments
  • Deep understanding of distributed deep learning concepts
  • Hands-on experience with InfiniBand or high-speed Ethernet fabric design

Nice to have

  • NVIDIA-certified professional credentials
  • Experience with NVIDIA Base Command Platform or Mission Control
  • Familiarity with sovereign AI or regulated industry AI infrastructure requirements
  • Experience integrating AI Factory infrastructure with public cloud for hybrid architectures
  • Background in MLOps, LLMOps, or platform engineering for production AI model lifecycle management

What you get

  • Base salary range of $170,000 to $190,000 annually
  • Compensation structure may include commissions and discretionary bonuses
  • Full range of medical, financial, and/or other benefits
  • 401(k) eligibility
  • Employee stock purchase program
  • Various paid time off benefits, including vacation, sick time, and personal leave

Worth weighing

  • No specific mention of remote work options
  • High level of technical expertise required across multiple domains
  • Role involves significant customer engagement and presentation to executives
  • Complexity of the infrastructure solutions may require extensive collaboration with various teams

Summarised from ePlus Technology, inc.'s posting. Read the full original.

Listed by ePlus Technology, inc. on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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