Senior Solution Architect, Japan

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Cornelis Networks

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🔧 Hardware

🏢 Enterprise

💰 $29M Series B on 2022-11

Artificial Intelligence • Hardware • Enterprise

Cornelis Networks is a leading provider of intelligent, scalable, high-performance interconnects designed for AI applications. The company specializes in delivering end-to-end purpose-built high-performance fabrics to commercial, scientific, academic, and government organizations. Cornelis Networks’ solutions are aimed at enhancing performance, scalability, and efficiency across hyperscale, cloud AI, and on-premises AI/HPC environments. Their offerings are known for scalable architecture, high bandwidth solutions, and universal compatibility with accelerators and GPUs. Originating as an Intel spin-off, the company is positioned to challenge existing technologies like InfiniBand and Ethernet, providing advanced interconnects that power modern AI infrastructure.

📋 Description

• Work closely with team members to identify, qualify, manage, and close sales opportunities • Gather customer and partner requirements and influence them to align with company solutions • Design, validate, and document solutions for customers and partners • Deliver effective technical presentations to secure favorable outcomes from various audiences • Author technical materials and peer-reviewed publications for use in sales and marketing activities • Travel to conferences, customers, and partners to present and position company solutions and research

🎯 Requirements

• Bachelor's Degree in a STEM discipline with 8 years of additional advanced schooling or deep experience • Experience leading the design or deployment of networking solutions for HPC/AI computing systems • Demonstrated knowledge of HPC, AI, or HPDA • Experience with data center infrastructure and Linux cluster technologies • Outstanding verbal, written, and interpersonal communication skills • Experience directly engaging and supporting customers • Fluency in spoken and written English • Experience deploying and operating in research computing environments • Experience with Omni-Path, InfiniBand, or Ethernet • Advanced knowledge of network architecture and optimization • Experience with parallel filesystems and parallel storage systems • Experience benchmarking, profiling, or optimizing application workloads on AI or HPC systems • Experience deploying and operating in cloud computing environments • Experience with system and network security • Experience with GPU computing and accelerator technologies

🏖️ Benefits

• Base salary • Performance incentives • Equity participation • Additional benefits, depending on geographic location • Paid holidays • Flexible work arrangements