NeoCloud Senior Infrastructure Architect (Remote)

Who You Are

You are a deeply experienced server and storage architect with a strong track record supporting GPU-driven AI and HPC environments. You understand how compute, storage and data pipelines interact and you design systems with performance, scalability, and operational efficiency in mind.

You’re comfortable operating at both the architectural and implementation levels, leading technical discovery sessions, evaluating emerging technologies and partnering across disciplines to deliver cohesive platform designs. You bring curiosity, rigor, and a systems-thinking mindset to your work, and you’re motivated by solving complex infrastructure challenges that enable next-generation AI workloads.

About The Role

As a NeoCloud Senior Infrastructure Architect, you will be responsible for designing and validating high-performance compute and storage architectures that power advanced AI, ML, and HPC workloads. This role focuses on building balanced, scalable platforms that maximize GPU utilization, data throughput, and overall system efficiency.

You will work closely with networking, platform, and application teams to translate complex workload and data requirements into optimized infrastructure designs. From early discovery and reference architecture development through proof-of-concept validation and performance optimization, this role is central to delivering reliable, scalable AI-ready platforms.

Must be based in the United States. This role may require up to 40% travel, including visits to client sites, partner locations, and industry events.

Other responsibilities include: 

• Architect server and storage solutions optimized for AI/ML and HPC workloads
• Design GPU-enabled compute platforms, including dense and scale-out architectures
• Lead technical discovery sessions to ensure infrastructure designs align with application and data requirements
• Develop reference architectures and best practices for AI-focused infrastructure deployments
• Assess and integrate technologies from vendors such as HPE, Dell, VAST Data, Pure Storage, DDN and WEKA
• Provide support for proof of concepts (POCs), benchmarking, and performance optimization for AI and HPC workloads
• Collaborate with networking architects to achieve comprehensive system balance and optimal performance
• Complete ongoing security awareness training and comply with company policies to the requirements section
• Identify and escalate security risks to the appropriate Executive Leadership Team member and actively contribute to remediation efforts
• Other duties as assigned 

Desired skills and experience: 

• Minimum of 8 years’ experience in server and storage architecture
• Proven hands-on expertise with GPU-based compute platforms and AI workloads
• In-depth understanding of parallel file systems, high-performance storage, and complex data pipelines
• Demonstrated experience in designing infrastructure for machine learning training, inference, or HPC environments
• Ability to translate application and workload requirements into robust infrastructure designs
• Experience with NVIDIA DGX systems or equivalent GPU computing platforms
• Practical knowledge of VAST, Pure Storage, WEKA, or similar high-performance storage solutions
• Familiarity with virtualization, containerization, and bare-metal AI deployment environments
• Exposure to cloud-adjacent or hybrid AI architectural models

A Little About Us 

Our mission is to challenge and enable our employees to achieve great things. 

We live and breathe our core values: 

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