HPC/AI Solution Architect
职位概述:·剑桥 HPC/AI 解决方案建筑师专注于高性能计算,人工智能和企业解决方案是一个基于现场的技术人员,他与客户协商并为我们的客户构建高级 IT 解决方案。通过与关系销售经理合作,这个个人将设计,建造,推和出售市场上最新技术,应用剑桥独特的商业模式,并利用与多种科技制造商建立长期的关系。责任和义务:· 确定客户需求,推解决挑战的最佳平台并为现有和网络新客户提供多供应商解决方案。• 每年平均向教育,商业,联邦实验室,媒体与娱乐,云服务提供者,研究计算和医疗保健征求1M 美元以上的解决方案。· 在各种学科中设计 HPC,AI 和 ML 的尖端和高度优化的解决方案,特别强调:多架规模计算机集群 (硬件,管理,定制器),x86和 ARM;数据存储 (平行文件系统,扩展量,软件定义);包含环境;高吞吐量互联网 (以太网,Infiniband,OPIAI,CXL);GPU 集群;分类组合基础设施。·具体使用情况包括生命科学 (基因序列化,生物信息学,药物发现);工程 (CFD,地缘地震);自然科学;深度学习;物联网和商业分析。·咨询企业信息技术,包括但不限于数据存储 (SAN,NAS,扩展,对象,档案库,生命周期管理);数据保护 (备份和灾难恢复设计);服务器和容器虚拟化 (VMware,Redhat,Kubernetes);CPU 和 GPU 计算;网络 (核心与边缘),防火墙,VPN 和 SSE 等问题;信息安全和其他企业数据中心技术。· 利用深入的知识和与科技行业领导者,包括 AMD,DDN,戴尔科技,思科,Cohesity,Commvault,HPe,IBM,英特尔,iper,联想,微软,NVIDIA,Oracle,Redhat,VAST Data,VMWare,WEKA 等之间的关系。· 带动特定需求生成活动,具有有限的内部支持。这包括招聘,邀请客户参加技术讲座,并跟踪营销驱动倡议。·获得先进的专业知识并获得证书。
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Job Overview:
- The Cambridge HPC/AI Solutions Architect focuses on high performance compute, artificial intelligence, and enterprise solutions 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.
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.
- Prescribe solutions averaging +$1M annually to Education, Commercial, Federal Labs, Media & Entertainment, Cloud Service Providers, Research Computing, and Healthcare.
- 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 (hardware, management, scheduler), both x86 and ARM; data storage (parallel file systems, scale-out, software defined); secure containerized environments; high-throughput interconnects (Ethernet, Infiniband, OPIAI, CXL); GPU clusters; disaggregated composable infrastructure.
- Specific use-cases will include life sciences (genomic sequencing, bioinformatics, drug discovery); engineering (CFD, geoseismic); natural sciences; deep learning; IoT, and commercial analytics.
- Consult on enterprise information technology, including, without limitation, data storage (SAN, NAS, scale-out, object, archival, lifecycle management); data protection (backup and disaster recovery design); server and container virtualization (VMware, Redhat, Kubernetes); CPU and GPU compute; networking (core & edge), 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. This includes 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 on-line 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, & IT Distributors.
- Work earnestly and respectfully with the cross-functional Cambridge team. A high level of respect for your peers and an eagerness to learn are required for your success.
- Engage regularly and frequently with Cambridge's internal tools as assigned, including but not limited to: CRM system, document management system, & company calendar.
Qualifications:
- Candidates must have at least 10+ years of customer facing technical experience recommending high value workload solutions, research & development, life science compute, and data-center centric IT infrastructure solutions (data storage, data protection, compute, security, and networking) to IT professionals either for a vendor or technology reseller.
- Experience with specific technologies including high-performance computing clusters, high-throughput network solutions (Infiniband, OmniPath, 400GbE), schedulers (UGE, SGE, SLRUM, PGS, LSF), cluster management tools (Bright Computing, Werewolf and xCAT), and parallel file systems (Lustre, IBM, Spectrum Scale, mGPFS)
- 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.
- As this is a field-based role, the employee must be able to work remotely, independently, and unsupervised. Travel will be required 25% of the time.
- Candidates must have impeccable communication and presentation skills, an ability to multi-task, and high attention to detail. They must be able to negotiate, proactive in approach, effective problem solvers, organized, creative, intellectually curious, deal with ambiguity, earnings motivated, and able to work with different types of personalities.
- Authorization to work in the United States on a full-time basis required.
How to Apply
Applicants must provide the following required materials:
- Resume
- Cover letter
Benefits
We recognize that satisfaction and well-being are integral components for long-term sustainability and business success. As such, available to full-time employees are the following benefits:
- Competitive salary
- Multiple health insurance options
- Medical FSA and Dependent Care FSA
- Dental insurance
- Vision insurance
- 401(k) savings plan with employer matching
- Employer-sponsored long-term disability
- Paid holidays and PTO that increases with longevity at the company
- Discounted health club membership
- Convenient Parking
- Opportunities for growth!
Estimated Salary Range
$90k - $175k per year
Equal Opportunity Employer
Cambridge Computer provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, military service, or veteran status in accordance with applicable federal, state and local laws.
Thank you for taking the time to consider this opportunity with us and good luck with your career search.
Originally posted on Himalayas