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AI/HPC
Data Centers

Summary

Neo-Cloud Solutions Architect (with Data Center exp.)

Contract
Remote

Must have: data center design, development, and execution for AI and HPC.

We're seeking an experienced Solutions Architect to bridge the gap between design and deployment of large-scale AI and HPC GPU infrastructure. This role serves as the primary technical point of contact for the customer throughout the full lifecycle of building next-generation GPU cloud infrastructure driving end-to-end technology solution integration and sharing field feedback with business and engineering teams to help shape product strategy.

Key Responsibilities:

Collaborate with the customer's cloud partners to design, implement, and operationalize innovative GPU hardware and software solutions.
Partner with Sales Account Managers and other business leads to identify and secure business opportunities for GPU infrastructure products and solutions.
Act as the primary technical point of contact for the customer through the full lifecycle of developing, building, and bringing large-scale GPU cloud infrastructure into production.
Lead regular technical customer meetings covering project and product details, feature discussions, introductions to new technologies, and debugging sessions.
Work with the customer to build proofs of concept addressing critical business needs across networking and compute infrastructure.
Prepare and deliver technical content to the customer, including presentations and workshops.
Analyze and develop joint solutions for customer performance and scaling issues.

Required Qualifications:

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or another Engineering field, or equivalent experience.
Motivation and skill to own and drive technical engagements with customers across the full customer lifecycle.
7+ years of Solution Engineering (or similar Sales Engineering / Cloud Engineering) experience working directly with partners and customers.
Experience crafting and deploying large-scale cluster environments.
Practical expertise in data center design, development, and execution for AI and HPC.
Strong time management skills and the ability to balance multiple tasks, with clear communication through documents and presentations.

Nice to Have:

Practical familiarity with GPU hardware and networking components (Ethernet/InfiniBand), storage, and other elements of large-scale AI and HPC cluster environments.
Practical knowledge of GPU systems management technologies such as NCCL, DCGM, UFM, Mission Control, and Base Command Manager.
Background with at-scale GPU systems, including performance testing and AI benchmarking.
Hands-on experience with cluster administration and orchestration (SLURM, Kubernetes).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91138303
Position Id: 9040782
Posted 2 hours ago

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Solution Engineering - Data Centers - AI/HPC

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