Senior Solution Architect (Japan)

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions . We are a fast-growing, forward-thinking team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and fully remote roles. We are seeking a Solutions Architect with significant design and implementation experience involving HPC and AI architectures in computing environments who can successfully position and sell solutions to both customers and partners in Japan . The ideal candidate will be a trusted technical resource and advisor that will foster relationships, create opportunities , and drive revenue as part of a growing team of dedicated sales professionals . Responsibilities 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 Minimum Q ualifications Bachelor’s Degree in a STEM discipline with 8 years of additional advanced schooling or deep experience E xperience leading the design or deploy ment of networking solutions for HPC/AI computing systems Demonstrated k nowledge of HPC, AI, or HPDA Experience with d ata center infrastructure and Linux cluster technologies Outstanding verbal, written , and interpersonal communication skills Experience directly engaging and supporting customers Candidate must be fluent in spoken and written English. Preferred Q ualifications Experience deploying and operating in research computing environments Experience with Omni-Pat h , InfiniBan d, 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 accelerat or technologies Location: This is a remote position for employees residing within Japan . We offer a competitive compensation package that includes base salary, performance incentives and equity participation. At Cornelis Networks, your compensation is only one component of your comprehensive total rewards package. Compensation will be determined by factors such as experience, qualifications, skills, and location relative to the hiring range for the position. Depending on your geographic location, in addition to your total rewards package, you may also be eligible for additional benefits, paid holidays, and flexible work arrangements. Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.