HPC/AI Solutions Architect
2 weeks ago
The Cambridge HPC/AI Solutions Architect is a field-based technologist who consults with customers and builds advanced IT solutions in HPC/AI and enterprise for our customers. By partnering with the relationship sales managers, this individual will design, build, recommend, and sell the latest technologies in the market, apply Cambridge's unique business model, and leverage long-established relationships with a diverse group of technology manufacturers.
This role requires a strong understanding of high-performance computing clusters, high-throughput network solutions, schedulers, cluster management tools, and parallel file systems. The ideal candidate will have experience with specific technologies, including enterprise data storage technologies, Windows Server and UNIX/Linux system administration, and expertise developing accounts, writing technical proposals, and giving presentations.
The Cambridge HPC/AI Solutions Architect will be responsible for determining customer needs, recommending the best platforms to solve challenges, and employing multi-vendor solutions to both existing and net new clients with a focus on IT professionals. This individual will also design cutting-edge and highly optimized solutions for HPC, AI, and ML across a variety of disciplines, with particular emphasis on multi-rack-scale compute clusters, data storage, secure containerized environments, high-throughput interconnects, GPU clusters, and disaggregated composable infrastructure.
The ideal candidate will have existing relationships with technology vendors and distributors in the IT ecosystem, impeccable communication and presentation skills, and the ability to negotiate, be proactive in approach, and work with different types of personalities.
This is a field-based role, and the employee must be able to work remotely, independently, and unsupervised. Travel will be required 25% of the time. The Cambridge HPC/AI Solutions Architect will represent the company in face-to-face and online meetings, technical demonstrations, and conferences, with a high degree of competence and professionalism.
Responsibilities and Duties:
Determine customer needs, recommend the best platforms to solve challenges, and employ multi-vendor solutions to both existing and net new clients with a focus on IT professionals.
Design cutting-edge and highly optimized solutions for HPC, AI, and ML across a variety of disciplines, with particular emphasis on multi-rack-scale compute clusters, data storage, secure containerized environments, high-throughput interconnects, GPU clusters, and disaggregated composable infrastructure.
Consult on enterprise information technology, including data storage, data protection, server and container virtualization, CPU and GPU compute, networking, firewalls, VPNs, and SSE, information security, and other enterprise data center technologies.
Leverage deep knowledge of and relationships with tech industry leaders, including AMD, DDN, Dell Technologies, Cisco, Cohesity, Commvault, HPe, IBM, Intel, Juniper, Lenovo, Microsoft, NVIDIA, Oracle, Redhat, VAST Data, VMWare, WEKA, and others.
Drive specific demand generation activities with limited inside support, including prospecting, calling clients to attend technical lectures, and following up on marketing driving initiatives.
Gain advanced expertise and earn certifications as assigned.
Represent the company in face-to-face and online meetings, technical demonstrations, and conferences, with a high degree of competence and professionalism.
Validate customer deliverables, including quotes, proposals, and statements of work.
Differentiate and add value to our solutions by leveraging our Professional Services team.
Build long-lasting relationships with vendors, clients, and IT distributors.
Work earnestly and respectfully with the cross-functional Cambridge team.
Engage regularly and frequently with Cambridge's internal tools, including the CRM system, document management system, and company calendar.
Qualifications:
Candidates must have at least 10+ years of customer-facing technical experience recommending high-value workload solutions, research and development, life science compute, and data-center centric IT infrastructure solutions to IT professionals either for a vendor or technology reseller.
Experience with specific technologies, including high-performance computing clusters, high-throughput network solutions, schedulers, cluster management tools, and parallel file systems.
Enterprise data storage technologies, such as SAN and NAS storage, Fibre Channel, iSCSI, CIFS, and NFS.
Windows Server and UNIX/Linux system administration.
Expertise developing accounts, writing technical proposals, giving presentations, and teaching employees/customers.
Expert-level knowledge of advanced computer hardware, software, and services.
Existing relationships with technology vendors and distributors in the IT ecosystem.
University undergraduate degree required. Science, technology, engineering, and mathematics (STEM) and/or advanced degree preferred.
Candidates must have impeccable communication and presentation skills, the ability to negotiate, be proactive in approach, and work with different types of personalities.
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